DATABASE SCHEMA OR DATA STRUCTURE

Method and apparatus for content repository with versioning and data modeling

6904454

Abstract

The present invention is related to method and apparatus for versioning. Versioning information is stored as metadata associated with data entities. A hierarchical relationship between the entities allows the definition of an editorial sequence and separate revisions within that sequence as well as relationships between sequences in a self-contained format.


Claims

1. A content repository computer system comprising a storage device for a plurality of persistent data entities including metadata each entity having a predetermined level of scope such that within a set of related data entities, the scope of an entity at a higher level encompasses the scope of related entities at a lower level of scope, wherein at least one entity includes metadata that identifies a sequential relationship between one or more entities within the scope of said one entity, each of said entities including metadata defining a position within said sequential relationship.

2. The system according to claim 1, wherein a further entity includes, in addition to metadata identifying a sequential relationship between one or more entities within the scope of said further entity, metadata identifying as a source of said sequential relationship, one of said entities within the scope of said at least one entity.

3. The system according to claim 1, wherein said storage device is connected to a network.

4. The system according to claim 1, including a plurality of said storage devices.

5. A content repository computer system comprising a storage device for a plurality of persistent data entities including metadata each entity having a predetermined level of scope such that within a set of related data entities, the scope of an entity at a higher level encompasses the scope of related entities at a lower level of scope, wherein within the scope of an entity at a higher level there exists at least one entity at an intermediate level whose metadata identifies a sequential relationship between one or more entities of a lower level and within the scope of said one entity, each of said entities at said lower level including metadata defining a position within said sequential relationship.

6. The system according to claim 5, wherein a further entity at said intermediate level includes, in addition to metadata identifying a sequential relationship between one or more entities of a lower level and within the scope of said further entity, metadata identifying as a source of said sequential relationship, one of said entities at a lower level within the scope of said one entity at said intermediate level.

7. The system according to claim 5, wherein said storage device is connected to a network.

8. The system according to claim 5, including a plurality of said storage devices.


Description

BACKGROUND

1. Field of the Invention

This invention relates to management and distribution of electronic media, and more specifically to versioning and data modeling.

2. Discussion of the Related Art

With the advent of the computer and particularly the networking of computers, the ability of organizations and individuals to rapidly generate, store, access and process data has increased dramatically. In the case of many organizations, the ability to manage and leverage data has become a central aspect of their business.

Not surprisingly, considerable effort and development has occurred in those computational and software fields related to the generation, storage, accessibility and processing of data. Nevertheless, it has been the case that as organizations have moved to a distributed architecture paralleling the development of the Internet, the complexity involved in providing solutions across different platforms and operating systems has become ever more challenging. Consequently, developers have tended to concentrate on limited solutions for preferred platforms and operating systems. Similarly, organizations have sought to standardize the tools they use to leverage data.

Unfortunately, the pull exerted by those distributed computing models currently finding favor is in direct contradiction to the solutions adopted by the majority of developers and those responsible within organizations for the selection of tools. Consequently, the management and distribution of data, particular of high value media content remains problematic. In particular, present techniques do not successfully address the need to be able to manage and track the editorial lifecycle of data entities and be able to differentiate between distinct yet related variants of a common body of information.

SUMMARY OF THE INVENTION

Thus, according to one aspect of the invention, there is provided a content repository system comprising a storage device for a plurality of persistent data entities including metadata each entity having a predetermined level of scope such that within a set of related data entities, the scope of an entity at a higher level encompasses the scope of related entities at a lower level of scope, wherein at least one entity includes metadata that identifies a sequential relationship between one or more entities within the scope of said one entity, each of said entities including metadata defining a position within said sequential relationship.

Advantageously, the identification provided by the metadata of the at least one entity corresponds to an indication of an editorial sequence or release comprising those entities within its scope each of which include metadata defining a position or version with the sequence. Preferably, where a relationship exists between one or more such editorial sequences, then a further entity indicative of a different release will contain within its metadata an indication of the source of that release. Such an indication may identify a particular revision within another release. Thus, the system seeks to overcome a difficult present in known tree-based versioning models namely their inability to explicitly define relationships between different releases.

According to a further aspect of the invention, there is provided a versioning method for an object oriented programming environment comprising a set of persistent data entities each having a predetermined level of scope wherein a related set of data entities comprises a hierarchical plurality of levels such that an entity at a higher level of scope encompasses the scope of related entities at a lower level of scope, the method comprising associating metadata with an entity indicative of a position within a sequence of one or more entities of corresponding scope said sequence being identified by associating further metadata with an entity whose scope encompasses said sequence of one or more entities.

Such a method may be implemented on any suitable platform with any suitable environment including a network comprising mobile and/or fixed elements. By defining versioning information within metadata, it permits the generation of a versioning model suited to a particular agent or user request. Thus, by way of example, a tree-based versioning model may be generated from the metadata albeit with explicit definition of the relationships between releases. It will, of course, be apparent to those skilled in the art that other versioning models may be generated.

Furthermore, according to yet another aspect of the invention, there is provided a data modeling tool for an object oriented programming environment comprising a set of persistent data entities each having a predetermined level of scope wherein a related set of data entities comprises a hierarchical plurality of levels such that an entity at a higher level of scope encompasses the scope of related entities at a lower level of scope, the tool comprising an interface operable to receive a request specifying a data model in terms of relationships between sequences of entities and a processor operable in response to said received request to generate a data model utilizing metadata associated with said entities, wherein at least one entity includes metadata indicative of a position within a sequence of one or more entities of corresponding scope said sequence being identified by further metadata associated with an entity whose scope encompasses said sequence of one or more entities.

Such a tool may be implemented within an agent that, because the physical data is abstracted to metadata and manipulations of said metadata are carried out through a predetermined language and semantics, permits the agent to operate in different environments perhaps containing further agents. Clearly, such a tool is equally applicable to environments made up of a single machine or a distributed network.

Furthermore, because the agents within the system interact utilizing the predetermined language and semantics there is a reduced requirement for knowledge of specialized configuration and implementation details of each agent.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is further described in the detailed description which follows in reference to the noted plurality of drawings by way of non-limiting examples of embodiments of the present invention in which like reference numerals represent similar parts throughout the several views of the drawings and wherein:

FIG. 1 is a diagram of a system for information delivery according to an example embodiment of the present invention;

FIG. 2 is a diagram of a conceptual level showing the relationships between framework elements according to an example embodiment of the present invention;

FIG. 3 is a diagram of an identity architecture defined by a framework according to an example embodiment of the present invention; and

FIG. 4 is a diagram of a Registry Service architecture according to an example embodiment of the present invention.

DETAILED DESCRIPTION

The particulars shown herein are by way of example and for purposes of illustrative discussion of the embodiments of the present invention. The description taken with the drawings make it apparent to those skilled in the art how the present invention may be embodied in practice.

Further, arrangements may be shown in block diagram form in order to avoid obscuring the invention, and also in view of the fact that specifics with respect to implementation of such block diagram arrangements is highly dependent upon the platform within which the present invention is to be implemented, i.e., specifics should be well within purview of one skilled in the art. Where specific details (e.g., circuits, flowcharts) are set forth in order to describe example embodiments of the invention, it should be apparent to one skilled in the art that the invention can be practiced without these specific details. Finally, it should be apparent that any combination of hard-wired circuitry and software instructions can be used to implement embodiments of the present invention, i.e., the present invention is not limited to any specific combination of hardware circuitry and software instructions.

Although example embodiments of the present invention may be described using an example system block diagram in an example host unit environment, practice of the invention is not limited thereto, i.e., the invention may be able to be practiced with other types of systems, and in other types of environments.

Reference in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment.

The present invention relates to a Metia Framework that defines a set of standard, open and portable models, interfaces, and protocols facilitating the construction of tools and environments optimized for the management, referencing, distribution, storage, and retrieval of electronic media; as well as a set of core software components (agents) providing functions and services relating to archival, versioning, access control, search, retrieval, conversion, navigation, and metadata management.

A Metia Framework according to the present invention may serve as the foundation for the realization of corporate documentation strategy, upon which company wide tools and services operate. A Metia Framework according to the present invention addresses the common requirements of all corporate business units, while also allowing custom extensibility by specific business units for special needs.

A Metia Framework architecture according to the present invention may be based on a standard HTTP 2 web server and is media neutral, such that the particular encoding of any data is not relevant to storage by or interchange between agents. This does not mean that specific encoding or other media constraints may not exist for any given environment implementing the framework, depending on the operating system(s), tools, and processes used, only that the framework itself aims not to impose any such constraints itself. Non-agent systems, processes, tools, or services that are utilized by an agent can still be accessed via proprietary means if necessary or useful for any operations or processes outside of the scope of the framework. Thus, framework based tools and services can co-exist freely with other tools and services utilizing the same resources. A Metia Framework according to the present invention brings together both existing, legacy systems as well as new solutions into a common, interoperable environment; maximizing the investment in current systems while reducing the cost and risk of evolving and/or new solutions.

A Metia Framework according to the present invention may be comprised of a number of components, each defining a core area of functionality needed in the construction of a complete production and distribution environment. Each framework component is defined separately by its own specification, in addition to a top level framework specification. The top level specification will be referred to as Metia Framework for Electronic Media. The other framework components include Media Attribution and Reference Semantics (MARS), Generalized Media Archive (GMA), Portable Media Archive (PMA), and Registry Service Architecture (REGS).

MARS is a metadata specification framework and core standard vocabulary and semantics facilitating the portable management, referencing, distribution, storage and retrieval of electronic media. MARS is designed specifically for the definition of metadata for use by automated systems and for the consistent, platform independent communication between software components storing, exchanging, modifying, accessing, searching, and/or displaying various types of information such as documentation, images, video, etc. It is designed with considerations for automated processing and storage by computer systems in mind, not particularly for direct consumption by humans; though mechanisms are provided for associating with any given metadata property one or more presentation labels for use in user interfaces, reports, forms, etc.

The GMA defines an abstract archival model for the storage and management of data based solely on Media Attribution and Reference Semantics (MARS) metadata; providing a uniform, consistent, and implementation independent model for information storage and retrieval, versioning, and access control. The GMA is a central component of the Metia Framework and serves as the common archival model for all managed media objects controlled, accessed, transferred or otherwise manipulated by Metia Framework agencies.

The PMA is a physical organization model of a file system based data repository conforming to and suitable for implementations of the Generalized Media Archive (GMA) abstract archival model. The PMA defines an explicit yet highly portable file system organization for the storage and retrieval of information based on Media Attribution and Reference Semantics (MARS) metadata. The PMA uses the MARS Identity metadata property values themselves as directory and/or file names, avoiding the need for a secondary referencing mechanism and thereby simplifying the implementation, maximizing efficiency, and producing a mnemonic organizational structure.

REGS is a generic architecture for dynamic query resolution agencies based on the Metia Framework and Media Attribution and Reference Semantics (MARS), providing a unified interface model for a broad range of search and retrieval tools. REGS provides a generic means to interact with any number of specialized search and retrieval tools using a common set of protocols and interfaces based on the Metia Framework; namely MARS metadata semantics and either a POSIX or CGI compliant interface. As with other Metia Framework components, this allows for much greater flexibility in the implementation and evolution of particular solutions while minimizing the interdependencies between the tools and their users (human or otherwise).

Initially, it should be noted that in order to improve the readability of the specification, sections that describe in detail all aspects of a particular component and that relate to the description of the embodiments described below, have been included at the end of the specification. When appropriate, reference has been made in the description to these sections by a title, name, or function of the section. These sections include Metia Framework for Electronic Media, Media Attribution and Reference Semantics (MARS), Portable Media Archive (PMA), Generalized Media Archive (GMA), and Registry Service Architecture (REGS).

FIG. 1 shows a diagram of a system for information delivery according to an example embodiment of the present invention. A network 1 includes an Hypertext Transfer Protocol (HTTP) web server 3 that may be accessible 4 by production clients 5 operating a number of operating systems on various platforms, and a set of on-line distribution clients 7. The on-line distribution clients 7 may include a wireless terminal 9 utilizing Wireless Mark-up Language (WML). As such, the terminal 9 may accesses 6 the HTTP web server 3 indirectly via a WAP server 1, which provides the necessary translation 8 between HTTP and WML. The HTUP web server 3 may further provide a Common Gateway Interface (CGI).

In addition to these physical elements of the network 1, data exchanged with the HTTP web server 1 may also be exchangeable 10 with an Agent pool 13 made up of a number of core software components or agents 13a, 13b, 13c, 13d providing services which will be elaborated upon below. Data exchanged 10 with the HTTP web server 3 by the Agent pool 13 may be transferred 12 between agents 13a-13d. The Agent pool 13 may have additional connections. A connection 14 may exist to a customer documentation server 15 capable of providing both on-line 17 and hard media 19 access to users. Moreover, a connection 16 may exist to a set of one or more archives 21 which themselves may be monitored and managed through an on-line connection 18 to a remote terminal 23.

FIG. 2 is a diagram of a conceptual level showing the relationships between framework elements according to an example embodiment of the present invention. A Media Attributions and Reference Semantics (MARS) 25 provides a core standard vocabulary and semantics utilizing metadata for facilitating the portable management, referencing, distribution, storage and retrieval of electronic media. As will be further described below, MARS 25 is the common language by which different elements of embodiments of the present invention communicate. A Generalized Media Archive (GMA) 27 provides an abstract archival model for the storage and management of data based on metadata defined by MARS 25. At a physical level, a Portable Media Archive (PMA) 29 provides an organizational model of a file system based data repository conforming to and suitable for implementations of the Generalized Media Archive (GMA) abstract archival model. A Registry Service Architecture (REGS) 31 may be provided which permits dynamic query resolution by agencies including users and software components or agents utilizing MARS 25, thereby providing a unified interface model for a broad range of search and retrieval tools.

As noted previously, a Framework according to the present invention may be based on a web server 3 running on a platform that provides basic command line and standard input/output stream functionality. An agent 13 may provide two interfaces, a combined Hypertext Transfer Protocol (HTTP) and Common Gateway Interface (CCL), HTTP+CGI, and a Portable Operating System Interface (POSIX) command line+standard input/output/error. In addition to these interfaces, the agent may provide further interfaces based on Java method invocation and/or Common Object Request Broker Architecture (CORBA) method invocation. An agent (or other user, client, or process) is free to choose among the available interfaces with which to communicate including communication with another such agent 13. In addition, a framework according to the present invention allows non-agent systems, processes, tools, or services that are utilized by an agent 13 to be accessed via proprietary means if necessary or useful for any operations or processes outside of the scope of the architecture. Thus, tools and services intended for the architecture can co-exist freely with other tools and services utilizing the same resources.

Specifically, the protocols on which a framework according to the present invention may be based include HTTP which is an application-level protocol for distributed, collaborative, hypermedia information systems. As a generic, stateless, protocol HTTP can be used for many tasks beyond hypertext. Thus, it may also be used with name servers and distributed object management systems, through extension of its request methods, error codes and headers. A particularly useful feature of HTTP is the typing and negotiation of data representation, allowing systems to be built independently of the data being transferred.

CGI is a standard for interfacing external applications with information servers, such as Web servers. CGI may serve as the primary communication mechanism between networked clients and software agents within a framework according to the present invention.

POSIX is a set of standard operating system interfaces based on the UNIX operating system. The POSIX interfaces were developed under the auspices of the 1EEE (Institute of Electrical and Electronics Engineers). A framework according to the present invention adopts the POSIX models for command line arguments, standard input streams, standard output streams, and standard error streams.

CORBA specifies a system that provides interoperability between objects in a heterogeneous, distributed environment that is transparent to a database programmer. Its design is based on the Object Management Group (OMG) Object Model. Framework agents may utilize CORBA as one of several means of agent intercommunication.

Java™ is both a programming language and a platform. Java is a high-level programming language intended to be architecture-neutral, object-oriented, portable, distributed, high-performance, interpreted, multithreaded, robust, dynamic, and secure. The Java platform is a "virtual machine" which is able to run any Java program on any machine for which an implementation of the Java virtual machine (JVM) exists. Most operating systems commonly in use today are able to support an implementation of the JVM. The core software components and agents provided by a framework according to the present invention may be implemented in Java.

Metadata is held within a framework according to the present invention using a naming scheme which is compatible across a broad range of encoding schemes including, but not limited to the following programming, scripting and command languages: C, C++, Objective C, Java, Visual BASIC, Ada, Smalltalk, LISP, Emacs Lisp, Scheme, Prolog, JavaScript/ECMASCriPt, Pen, Python, TCL, Bourne Shell, C Shell, Z Shell, Bash, Korn Shell, POSIX, Win32, REXX, and SQL.

The naming scheme according to the present invention may also be compatible with, but not limited to, the following mark-up and typesetting Languages: SGML, XML, HTML, XI-ITML, DSSSL, CSS, PostScript, and PDF. Equally, the naming scheme may be also compatible with but not limited to the following file systems: FAT (MS-DOS), VFAT (Windows 95/98), NTFS (Windows NT/2000), HFS (Macintosh), HPFS (OS/2), HP/UX, UFS (Solaris), ext2 (Linux), ODS-2 (VMS), NFS, ISO 9660 (CDROM), UDF (CDRIW, DVD).

In order to provide such compatibility, the naming scheme may utilize an explicit, bound, and typically ordinal set of values referred to hereinafter as a token. The token may comprise any sequence of characters beginning with a lowercase alphabetic character followed by zero or more lowercase alphanumeric characters with optional single intervening underscore characters. More specifically, any string matching the following POSIX regular expression:

Some examples may include: Abcd, ab—cd, a123, x2345, and here_is_a_very_long_token_value.

By defining MARS metadata properties in a token format, an agent 13 or other tool is able to operate more efficiently as a result of its processes being based on controlled sets of explicitly defined values rather than those based on arbitrary values.

A token provides the structure through which a framework according to the present invention is able to define metadata in the form of a property. This property is representative of a quality or attribute assigned or related to an identifiable body of information. The property thus includes an ordered collection of one or more values sharing a common name. The name of the property represents the name of the collection and the value(s) represent the realization of that property. In accordance with the token structure adopted in the framework, constraints are placed on the values that may serve as the realization of a given property. A property set is thus any set of MARS 25 properties.

Further details of the property types allowed under MARS 25 are to be found in the MARS section following. Certain property values are also defined under MARS 25 and may also be found in the MARS section following. These include the property value of count that may be a single meaning that at most there may be one value for a given property or multiple meaning that there may be one or more values for a given property. Another property value is range which for any given property may be bounded or unbounded. In addition, the property value of ranking provides, for any given property, the set of allowed values for that property may be ordered by an implicit or explicit ordinal ranking, either presumed by all applications operating on or referencing those values or defined. Some property value types are ranked implicitly due to their type and subsequently the value ranges of all properties of such types are automatically ranked. Examples of such property types include Integer, Count, Date, Time and the like. Most properties with ranked value ranges are token types having a controlled set of allowed values which have a significant sequential ordering such as status, release, milestone and the like.

Ranking, if it is applied, may be either strict or partial. With strict ranking, no two values for a given property may share the same ranking. With partial ranking, multiple values may share the same rank, or may be unspecified for rank, having the implicit default rank of zero.

Ranked properties may only have single values. This is a special constraint which follows logically from the fact that ranking defines a relationship between objects having ranked values, and comparisons between ranked values becomes potentially ambiguous if multiple values are allowed. For example, if the values x, y, and z for property P have the ranking 1, 2, and 3 respectively, and object ‘foo’ has the property P(y) and object ‘bar’ has the property P(x,z), then a boolean query such as "foo.P <bar.P?" cannot be resolved to a single boolean result, as y is both less than z and greater than x. Thus the query is both true and false, depending on which value is chosen for bar.P (i.e. foo.P(y)<bar.P(x)=False, while foo.P(y)<bar.P(z)=True).

Ranking for all property types other than token are defined implicitly by the data type, usually conforming to fundamental mathematical or industry standard conventions. Ranking for token property values are specified using Ranking. In either case and as has already been stated, ranking may be strict in the sense that the set of allowed values for the given property corresponds to a strict ordering, and each value is associated with a unique ranking within that ordering. Alternatively, ranking may be partial in the sense that the set of allowed values for the given property corresponds to a partial ordering, and each value is associated with a ranking within that ordering, defaulting to zero if not otherwise specified. Finally, ranking may not be applied such that the set of allowed values for the given property corresponds to a free ordering, and any ranking specified for any value is disregarded.

FIG. 3 shows a diagram of an identity architecture defined by a framework according to an example embodiment of the present invention. The Identity architecture 33 may have a set of nested pre-determined definitions of specific scope each utilizing tokens to hold information. At the lowest level of scope, a Storage Item 35 corresponds to what would typically be stored in a single file or database record, and is the physical representation of the data that the framework is capable of manipulating. Thus, Items 35 are the discrete computational objects which are passed from process to process, and which form the building blocks from which the information space and the environment used to manage, navigate, and manipulate it are formed. Hence, an Item 35 may embody content, content fragments, metadata, revision deltas, or other information.

At the next highest level of scope, a Media Component 37 defines a particular realization of a defined token value. Thus, the Component 37 defines at an abstract level properties and characteristics of one of the following non-exhaustive content types, namely data, metadata, table of contents, index or glossary. A data content type might include a language, area of coverage, release or method of encoding. A component 37 is linked to one or more storage item 35 that relates to the content at a physical level.

Immediately, above the level of scope of the Media Component 37 is a Media Instance 39. The media instance 39 is made up of a number of media components 37 each of which relate to a particular property of an identifiable body of information. Thus, a particular Media Instance 39 may comprise a set of properties 37 namely a specific release, language, area of coverage and encoding method.

Finally, the highest level of scope is a Media Object 41 which represents an body of information corresponding to a common organizational concept such as a document, book, manual, chapter, section, sidebar, table, image, chart, diagram, graph, photograph, video segment, audio stream or the like.

However, the body of information is abstract to the extent that no specification is made of any particular language, coverage, encoding or indeed release. Thus, depending on the presence, or otherwise of information at the lower levels of scope, dictated ultimately by the existence or otherwise of a relevant Storage Item 35, it may be possible to realize some, if not all, particular media instances 39 corresponding to that media object 41.

In order to allow for referencing of specific content, namely a fragment within a given item, component, instance, or object, MARS 25 adopts the Worldwide Web Consortium (W3C) proposal for the XPointer standard for encoding such content specific references in SGML, HTML, or XML content. A fragment will be understood by those skilled in the art to be an identifiable linear sub-sequence of the data content of a component 37, either static or reproducible, which is normally provided where the full content is either too large in volume for a particular application or not specifically relevant. Those skilled in the art will also be aware of the W3C Xpointer proposal, however further details may be found from the W3C website which is presently located at www.w3c.org. XPointer is based on the XML Path Language (XPath). Through the selection of various properties, such as element types, attribute values, character content, and relative position, XPointer supports addressing within internal structures of XML documents and allows for traversals of a document tree. Thus, in place of structural references to data, the framework may provide that explicit element ID values are used for all pointer references thereby avoiding specific references to structural paths and data content. As a result, a framework according to the present invention ensures the maximal validity of pointer values to all realizations of a given media object, irrespective of language, coverage, encoding, or partitioning. In addition to the Xpointer standard proposal, other alternative/additional internal pointer mechanisms for other encodings may be utilized.

In addition to the above-described architecture, a framework according to the present invention provides rules that relate to the inheritance and versioning of the scoped definitions. Thus, the framework provides that metadata defined at higher scopes is inherited by lower scopes by ensuring that two rules are applied. Firstly, all metadata properties defined in higher scopes are fully visible, applicable, and meaningful in all lower scopes, without exception. Secondly, any property defined in a lower scope completely supplants any definition of the same property that might exist in a higher scope. Consequently, all metadata properties defined for a media object 41 may be inherited by all instances 39 of that object; and all metadata properties defined for a media instance 39 or media object 41 may be inherited by all of its components 37.

In relation to versioning, MARS 25 defines a versioning model using two levels of distinction. A first level is defined as a release, namely a published version of a media instance that is maintained and/or distributed in parallel to other releases. By way of example, a release could be viewed as a branch in a prior art tree based versioning model. A second level is defined as a revision corresponding to a milestone in the editorial lifecycle of a given release; or by way of example, a node on a branch of the prior art tree based model. MARS 25 defines and maintains versioning for ‘data’ storage item 35, only.

In addition to the Identity architecture described above, MARS 25 provides a management architecture that permits control of processes such as retrieval, storage, and version management. Details of the properties defined to provide such functionality might be found in the MARS section following. MARS 25 also provides affiliation properties that define an organizational environment or scope where data is corrected and maintained. Examples of such properties can also be found in the MARS section following.

MARS 25 further provides content properties that allow definition of data characteristics independent of the production, application or realization of that Data. Again, examples of such properties can be found in the MARS section following. MARS 25 also provides encoding properties defining special qualities relating to the format, structure or general serialization of data streams. These properties are, of course, of significance to tools and processes operating on that data. Yet again, examples of such properties can be found in the MARS section following. MARS 25 also provides association properties that define relationships relating to the origin, scope or focus of the content in relation to other data. Examples of such properties may be found in the MARS section following. Finally, MARS 25 provides role properties that specify one or more actors who have a relationship with the data. An actor may be a real user or a software application such as an agent. Examples of such properties may be found in the MARS section following.

As has been previously mentioned, a Generalized Media Archive (GMA) 27, based on Media Attribution and Reference Semantics (MARS) 25 metadata provides a uniform, consistent, and implementation independent model for the storage, retrieval, versioning, and access control of electronic media. Further details of the GMA may be found in the GMA section following. The GMA 27 and serves as the common archival model for all managed media objects controlled, accessed, transferred or otherwise manipulated by agencies operating with a framework according to the present invention. Hence, the GMA 27 may serve as a functional interface to wide range of archive implementations whilst remaining independent of operating system, file system, repository organization, versioning, mechanisms, or other implementation details. This abstraction facilitates the creation of tools, processes, and methodologies based on this generic model and interface which are insulated from the internals of the GMA 27 compliant repositories with which they interact.

The GMA 27 defines specific behavior for basic storage and retrieval, access control based on user identity, versioning, automated generation of variant instances, and event processing. The identity of individual storage items 35 is based on MARS metadata semantics and all interaction between a client and a GMA implementation must be expressed as MARS 25 metadata property sets.

The GMA manages media objects 41 via media components 37 and is made up of storage items 35. The GMA manages the operations of versioning, storage, retrieval, access control, generation and events as will be further described below. Examples of pseudo code corresponding to the above and other managed operations carried out by the GMA may be found in the GMA section following.

The GMA 27 operates on the basis of MARS 25 metadata and as a result of its operation the GMA 27 acts on that same metadata. The metadata operated on by the GMA 27 may be restricted to management metadata rather than content metadata. The former being metadata concerned with the history of the physical data, such as retrieval and modification history, creation history, modification and revision status, whereas the latter is concerned with the qualities and characteristics of the information content as a whole, independent of its management. Content metadata is stored as a separate ‘meta’ component 37, not a ‘meta’ item 35, such that the actual specification of the content metadata is managed by the GMA 27 just as any other media component 37. The metadata that is of primary concern to a GMA 27, and which a GMA accesses, updates, and stores persistently, is the metadata associated with each component 37.

A GMA 27 manages media components 37, and the management metadata for each media component 37 is stored persistently in the ‘meta’ storage item of the media component 37. A special case exists with regards to management metadata which might be defined at the media instance 39 or media object 41 scope, where that metadata is inherited by all sub-components 37 of the higher scope(s) in accordance with the inheritance rules set out above.

In order to provide the necessary functionality, the GMA 27 requires that the certain metadata properties are defined in an input query and/or in respect of any target data depending on the action being performed and which functional units are implemented. These properties are set out in the GMA section, Section 4.1.2-4, following. In accordance with inheritance rules defined in MARS 25, retrieval of metadata for a given media component scope includes all inherited metadata from media object and media instance scopes. In addition, the GMA 27 will assume the default values as defined by the MARS 25 specification for all properties which it requires but that are not specified explicitly. It is an error for a required property to have neither a default MARS 25 value nor an explicitly specified value. In addition to relying on existing metadata definitions, the GMA 27 is responsible for defining, updating, and maintaining the management metadata relevant for the ‘data’ item 35 of each media component 37, which is stored persistently as the ‘meta’ item 35 of the component 37.

The GMA 27 stores ‘meta’ item 35, containing management metadata, in any internal format; however the GMA must accept and return ‘meta’ storage items as XML (eXtensible Mark-up Language) instances. However, content metadata constituting the data content of a ‘meta’ component 37 and stored as the ‘data’ item 35 of the ‘meta’ component 37, must always be a valid XML instance.

These two constraints ensure that an agent interacting with the GMA 27 is able to retrieve from or store to the GMA 27 both content and management metadata as needed. The GMA 27 is also able, as a consequence of these constraints to resolve inherited management metadata from meta components at higher scopes in a generic fashion.

In order to store and retrieve items, the GMA 27 associates electronic media data streams to MARS 25 storage item identities and makes persistent, retrievable copies of those data streams indexed by their MARS 25 identity. The GMA 27 also manages the corresponding creation and modification of time stamps in relation to those items. The GMA 27 organizes both the repository 21 of storage items 35 as well as the mapping mechanisms relating MARS identity metadata to locations within that repository 21. The GMA 27 may be implemented in any particular technology including, but not limited to common relational or object oriented database technology, direct file system storage, or any number of custom and/or proprietary technologies.

In addition to the core storage and retrieval actions provided by the GMA 27, the GMA 27 is capable of providing the functionality necessary to permit operations by agents in relation to versioning, access control, generation, and/or events. The GMA 27 will exhibit a pre-defined behavior, to the extent that such functionality is provided by it.

Thus, if the GMA 27 implements access control, then access control of media 15 components 37 is based on several controlling criteria as defined for the environment in which the GMA resides and as stored in the metadata of individual components managed by the GMA. Access control is defined for entire components and not for individual items within a component. Access control may also be defined for media objects 41 and media instances 39, in which case subordinate media components 37 inherit the access configuration from the higher scope(s) in the case that it is not defined specifically for the component. The four controlling criteria for media access are User identity, Group membership(s) of user, Read permission for user or group and Write permission for user or group.

Accordingly, every user must have a unique identifier within the environment in which the GMA operates, and the permissions must be defined according to the set of all users and groups within that environment.

A user may be a human, but also can be a software application, process, or system typically referred to as an agent 13. This is especially important for both licensing as well as tracking operations performed on data by automated software agents 13 operating within the GMA 27 environment. Furthermore, any user may belong to one or more groups, and permissions may be defined for an entire group, and thus for every member of that group. Consequently, the maintenance overhead in environments with large numbers of users and/or high user turnover many users coming and going is reduced. In a manner similar to the inheritance rules applied by MARS 25, permissions defined for explicit user override permissions defined for a group of which the user is a member. For example, if a group is allowed write permission to a component 37, but a particular user is explicitly denied write permission for that component 37, then the user may not modify the component 37.

The GMA 27 may also provide read permission such that a user or group may retrieve a copy of the data. Where a lock marker is placed in relation to data, it does not prohibit retrieval of data, merely modification of that data. If access control is not implemented, and/or unless otherwise specified globally for the GMA 27 environment or for a particular archive, or explicitly defined in the metadata for any relevant scope, a GMA 27 must assume that all users have read permission to all content.

Similarly, the GMA 27 may also provide Write permission that means that the user or group may modify the data by storing a new version thereof. The GMA 27 provides that write permission equates to read permission such that every user or group which has write permission to particular content also has read permission. This overrides the situation where the user or group is otherwise explicitly denied read permission.

As in the case of read permission, the presence of a lock marker prohibits modification by any user other than the owner of the lock, including the owner of the component 32 if the lock owner and component owner are different. Optionally, the GMA 27 provides a means to defeat locking as a reserved action unavailable to general users. Should locking be defeated in this manner then the GMA 27 logs the event and notifies the lock owner accordingly.

Where access control is not implemented, then the GMA 27 applies the rule that all users have write permission to all content. If access control is implemented, and unless otherwise specified globally for the GMA 27 environment or for a particular archive or explicitly defined in the metadata for any relevant scope, the GMA 27 must assume that no users have write permission to any content. Regardless of any other metadata defined access specifications not including settings defined globally for the archive, the owner of a component 37 always has write access to that component 32.

In addition to blanket access control, the GMA 27 may, if access control is enabled provide a set of access levels which serve as convenience terms when defining, specifying, or discussing the "functional mode" of a particular GMA 27 with regard to read and write access control.

Access levels can be used as configuration values by GMA 27 implementations to specify global access behavior for a given GMA 27 where the implementation is capable of providing multiple access levels. At each level the read and write capability may be predefined subject to the overriding rule that a read right may never fall below the corresponding write right.

The GMA 27 may implement versioning. Through the implementation of versioning, the GMA 27 facilitates the identification, preservation, and retrieval of particular revisions in the editorial lifecycle of a particular discrete body of 30 data.

The versioning model used by the GMA 27 and further description in the GMA section, section 4.5 following, in particular defines a release as a series of separately managed and independently accessible sequences of revisions. Revisions are defined as ‘snapshots’ along a particular release. Where a release is derived from another release then the GMA 27 updates a MARS 25 source property to identify from what release and revision the new release stems. Within the above rules, the GMA 27 is responsible for linear sequence of revisions within a particular release. The GMA 27 is responsive to external agent 13 activities that are themselves responsible for the automated or semi-automated creation or specification of new instances 39 relating to distinct releases. The GMA is also responsive to agent 13 activities relating to the retrieval of revisions not unique to a particular release. Typically, a human editor manually performs the creation of new releases, including the specification of ‘source’ and any other relevant metadata values. Other tools, external to the GMA 27 may also exist to aid users in performing such operations.

A GMA 27 performs versioning for the ‘data’ item 35 of a media component 37 only and that sequence of revisions constitutes the editorial history of the data content of the media component 37. The GMA 27 is also responsible for general management and updating of creation, modification and other time stamp metadata. Storage or update of items other than the ‘data’ item 35 neither effect the status of management metadata stored in the ‘meta’ item 35 of the component 37 unless the item 35 in question is in fact the ‘meta’ 35 item of the component 37, nor are reflected in the revision history of the component 37. If a revision history or particular metadata must be maintained for any MARS 25 identifiable body of content, then that content must be identified and managed as a separate media component 37, possibly belonging to a separate media instance 39.

Revisions are identified by positive integer values utilizing MARS 25 property type Count values. The scope of each media component 37 is unique and revision values have significance only within the scope of each particular media component 32. Revision sequences should begin with the value ‘1’ and proceed linearly and sequentially. The GMA 27 implementation is free to internally organize and store past revisions in any fashion it chooses.

The GMA 27 may implement one or both of the following described methods for storing past revisions of the content of a media component. However, regardless of its internal organization and operations, the GMA 27 must return any requested revision as a complete copy.

One method that the GMA 27 may employ to store past revisions is to generate snapshots. A snapshot is a complete copy of a given revision at a particular point in time. As such snapshotting is straightforward to implement, and possibly time consuming regeneration operations are not needed to retrieve past revisions. The latter can be very important in an environment where there is heavy usage and retrieval times are a concern.

Alternatively or in conjunction with snapshots, the GMA 27 may store past revisions through a reverse delta methodology. A delta is set of one or more editorial operations that can be applied to a body of data to consistently derive another body of data. A reverse delta is a delta that allows one to derive a previous revision from a former revision. Rather than store the complete and total content of each revision, the GMA 27 stores the modifications necessary to derive each past revision from the immediately succeeding later revision. To obtain a specific past revision, the GMA 27 begins at the current revision, and then applies the reverse deltas in sequence for each previous revision until the desired revision is reached.

In a variant of the above, the GMA 27 utilizes a forward delta methodology where each delta defines the operations needed to derive the more recent revision from the preceding revision.

The GMA 27 may also implement generation through the dynamically creating data streams from one or more existing storage items 35. By way of example, this includes conversions from one encoding or format to another, extraction of portions of a component's content, auto-generation of indices, tables of contents, bibliographies, glossaries, and the like as new components 37 of a media instance 39, generation of usage, history, and/or dependency reports based on metadata values, generation of metadata profiles for use by one or more registry services.

The GMA 27 also provides dynamic partitioning whereby a fragment of the data content is returned in place of the entire ‘data’ item, optionally including automatically generated hypertext links to preceding and succeeding content, and/or information about the structural/contextual qualities of the omitted content, depending on the media encoding. The GMA 27 may implement dynamic partitioning irrespective of whether static fragments exist. Dynamic partitioning is controlled by one or possibly two metadata properties, in addition to those defining the identity of the source data item. The required property is size that determines the maximum number of bytes which the fragment can contain starting at the beginning of the data item. Whereas the second and optional property is pointer that defines the point within the data item from which the fragment is extracted. Thus, the GMA 27 extracts the requested fragment, starting either at the beginning of the data item, where no pointer is defined or at the point specified by the pointer value that may be at the start of the data item if the pointer value is zero. The GMA 27 collects the largest coherent and meaningful sequence of content up to but not exceeding the specified number of content bytes. What constitutes a coherent and meaningful sequence will depend on the media encoding of the data and possibly interpretations inherent in the GMA 27 implementation itself.

A GMA 27 may implement event handling. Accordingly, for each storage item, media component 37, media instance 39, or media object 41, a set of one or more MARS 25 property sets defining some operation(s) can be associated with each MARS 25 action, such that when that action is successfully performed on that item 35, component 37, instance 41, or object, the associated operations are executed. Automated operations are thus defined for the source data and not for any target data that might be automatically generated as a result of an event triggered operation. Each operation property set must specify the necessary metadata properties to be executed correctly, such as the action(s) to perform and possibly including the CGI URL of the agency that is to perform the action. The GMA 27 determines how a given operation is to be performed, and by which software component or agent 13 if otherwise unspecified in the property set(s).

In the case of a remove action, which will result in the removal of any events defined at the same scope as the removed data, the GMA 27 will execute any operations associated with the remove action defined at that scope, after successful removal of the data, even though the operations themselves are part of the data removed and will never be executed again in that context.

The most common type of operation for events is a compound ‘generate store’ action which generates a new target item from an input item and stores it persistently in the GMA 27, taking into account all versioning and access controls in force. By this operation, it is possible to automatically update components such as the toc (Table of Contents) or index when a data component 37 is modified, or generate static fragments of an updated data component 37.

The GMA 27 may associate automated operations globally for any given action provided the automated operations are defined in terms of MARS 25 property sets. Automated operation may also be applied within the scope of the data being acted upon. The GMA 25 may also associate automated operations with triggers other than MARS 25 actions, such as reoccurring times or days of the week, for the purpose of removing expired data such as via a ‘locate remove’ compound action.

The GMA 27 must also apply the following rules relating to the serialization and encoding of certain storage items. Thus, the GMA 27 provides that every ‘meta’ storage item that is presented to a GMA 27 for storage or returned by a GMA 27 on retrieval must be a valid XML instance. Metadata property values "contained" within ‘meta’ storage items 35 need not be stored or managed internally in the GMA 27 using XML, but every GMA 27 implementation must accept and return ‘meta’ items as valid XML instances. In the case of ‘data’ Storage Items 35 within ‘meta’ Media Components 37, the serialization of ‘meta’ storage items 35 is also used to encode all ‘data’ storage items 35 for all ‘meta’ components 37. Although the GMA 27 persistently stores all ‘data’ storage items 35 literally, it may also choose to parse and extract a copy of the metadata property values defined within meta component data items to more efficiently determine inherited metadata properties at specific scopes within the archive 27.

Every ‘idmap’ storage item which is presented to a GMA 27 for storage or returned by a GMA 27 on retrieval should be encoded as a Comma Separated Value (CSV) data stream defining a table with two columns where each row is a single mapping and where the first column/field contains the value of the ‘pointer’ property defining the symbolic reference and the second column/field contains the value of the ‘fragment’ property specifying the data content fragment containing the target of the reference, for example:

  • #EID284828,228
  • #E1 D192,12
  • #EID9928,3281
  • #E1 D727,340
    The mapping information "contained" within ‘idmap’ storage items need not be stored or managed internally in the GMA 27 in CSV format, but every GMA 27 implementation accepts and returns ‘idmap’ items as CSV formatted data streams.


  • Finally, the GMA 27 returns the complete and valid contents of a given ‘data’ storage item for a specified revision (if it exists), regardless how previous revisions are managed internally. Reverse deltas or other change summary information which must be applied in some fashion to regenerate or rebuild the desired revision must not be returned by a GMA 27, even if that is all that is stored for each revision data item internally. Only the complete data item is to be returned.

    In order to implement the GMA 27 across a physical system 1, the concept of a Portable Media Archive (PMA) 29 has already been introduced. The PMA provides a physical organizational model of a file system based data repository 21 conforming to and suitable for implementations of the Generalized Media Archive (GMA) 27 abstract archival model. The PMA section following provides further details of the PMA 29.

    The PMA 29 defines an explicit yet highly portable file system organization for the storage and retrieval of information based MARS 35 metadata. Accordingly, the PMA 29 uses the MARS Identity and Item Qualifier metadata property values themselves as directory and/or file names. Where the GMA 27 utilizes a physical organization, model other than the PMA 29. The PMA 29 may nevertheless be employed by such an implementation as a data interchange format between disparate GMA 27 implementations and/or as a format for storing portable backups of a given archive 21.

    The PMA 29 is structured physically as a hierarchical directory tree that follows the MARS object/instance/component/item scoping model. Each media object 41 comprises a branch in the directory tree, each media instance 39 a sub-branch within the object branch 41, each media component 32 a sub-branch within the instance 39, and so forth. Only MARS Identity and Item Qualifier property values are used to reference the media objects 41 and instances 39. All other metadata properties as well as Identity and Qualifier properties are defined and stored persistently in ‘meta’ storage items 35; conforming to the serialization and interchange encodings used by the GMA 27 and referred to above. Because Identity and Item Qualifier properties must be either valid MARS tokens or integer values, it will be appreciated by one skilled in the art that any such property value is likely to be an acceptable directory or file name in all major file systems in use today.

    More particularly, the media object scope is encoded as a directory path consisting of a sequence of nested directories, one for each character in the media object ‘identifier’ property value. For example:

    Identifier="dn9982827172" gives d/n/9/9/8/2/8/2/7/1/2/

    Identifier values are broken up in this fashion in order to support very large numbers of media objects, perhaps up to millions or even billions of such objects, residing in a given archive 21. By employing only one character per directory, the PMA 29 ensures that there will be at most 37 child sub-directories within any given directory level that is one possible sub-directory for each character in the set [a-z0-9_] allowed in MARS token values. Accordingly, the sub-directory structure satisfies the maximum directory children constraints of most modern file systems. The media object 41 scope may contain media instance 39 sub-scopes or media component 37 sub-scopes; the latter defining information, metadata or otherwise, which is shared by or relevant to all instances of the media object 41. The media instance 39 scope is encoded as a nested directory sub-path within the media object 41 scope and consisting of one directory for each of the property values for ‘release’, ‘language’, ‘coverage’, and ‘encoding’, in that order. For example:

    release="1" language="en" coverage="global" encoding="xhtml" gives 1/en/global/xhtm/1/

    The media component 37 scope is encoded as a sub-directory within either the media object 41 scope or media instance 39 scope and named the same as the component 37 property value. For example:

    component="meta" gives meta/

    The revision scope, grouping the storage items for a particular revision milestone, is encoded as a directory sub-path within the media component 37 scope beginning with the literal directory ‘revision’ followed by a sequence of nested directories corresponding to the digits in the non-zero padded revision property value. For example:

    revision="27" gives revision/2/7/

    The ‘data’ item 35 for a given revision must be a complete and whole snapshot of the revision, not a partial copy or set of deltas to be applied to some other revision or item. It must be fully independent of any other storage item insofar as its completeness is concerned.

    The fragment scope, grouping the storage items for a particular static fragment of the data component content, is encoded as a directory sub-path within the media component 32 scope or revision scope and beginning with the literal directory ‘fragment’ followed by a sequence of nested directories corresponding to the digits in the non-zero padded fragment property value. For example:

    fragment="5041" gives fragment/5/0/4/1/

    The event scope, grouping action triggered operations for a particular component 37, instance 39, or object 41, is encoded as a directory sub-path within the media component 32 scope, media instance 39 scope, or media object 41 scope and beginning with the literal directory ‘events’ and containing one or more files named the same as the MARS action property values, each file containing a valid MARS XML instance defining the sequence of operations as ordered property sets. For example:

    events/store

    events/retrieve

    events/unlock

    The storage item 35 is encoded as a filename within the media component, revision, or fragment scope and named the same as the item property value. For example:

    item="data" gives data

    The PMA 29 does not have any minimum requirements on the capacities of host file systems, nor absolute limits on the volume or depth of conforming archives. However, it will be appreciated by those skilled in the art that an understanding of the variables that may affect portability from one file system to another is important if data integrity is to be maintained. Nevertheless, the PMA 29 does define the following recommended minimal constraints on a host file system, which should be met, regardless of the total capacity or other capabilities of the file system in question:

    File and Directory Name Length: 30

    Directory Depth: 64

    Number of Directory Children: 100

    The above specified constraints are compatible with the following commonly used file systems, which are therefore suitable for hosting a PMA 29 which also does not exceed real constraints of the given host file system: VFAT (Windows 95/98), NTFS (Windows NT/2000), HFS (Macintosh), HPFS (OS/2), HP/UX, UFS (Solaris), ext2 (Linux), ISO 9660 Levels 2 and 3 (CDROM), and UDF (CDRJW, DVD). These are but a representative sample of file systems that are suitable for hosting a PMA 29. The PMA section following provides an example of file system organization for a PMA 29.

    FIG. 4 shows a diagram of a Registry Service architecture according to an example embodiment of the present invention. In order to facilitate access by agents to the data 15 held within the framework, a Registry Service architecture (REGS) 31 is defined which provides for dynamic query resolution agencies based on MARS 25, thereby providing a unified interface model for a broad range of search and retrieval tools. The REGS section following provides further details of REGS.

    REGS 31 provides a generic means to interact with any number of specialized search and retrieval tools using a common set of protocols and interfaces based on a Framework according to the present invention utilizing MARS metadata semantics and either a POSIX or CGI compliant interface. As with other Framework components, this allows for much greater flexibility in the implementation and evolution of particular solutions while minimizing the interdependencies between the tools and their users, be they human or software agents 13.

    Being based on MARS 25 metadata allows for a high degree of automation and tight synchronization with the archival and management systems used in the same environment, with each registry service deriving its own registry database 43 directly from the metadata stored in and maintained by the various archives 21 themselves; while at the same time, each registry service 43 is insulated from the implementation details of and changes in the archives from which it receives 44 its information. As shown in FIG. 4, each variant of REGS 31 may share a common architecture and fundamental behavior, differing only in the actual metadata properties required for its particular application.

    A key feature of the registry database 43 architecture is the provision in every case, of a profile or property set which, in addition to any non-identity related properties, explicitly defines the identity of a specific media object, media instance, media component, or storage item (possibly a qualified data item). Default values for unspecified identity properties are not applied to a profile and any given profile may not have scope gaps in the defined Identity properties (i.e., ‘item’ defined but not ‘component’, etc.). Profiles should unambiguously and precisely identify a media object, instance, component or item.

    In addition to identity, the retrieval location of the archive 21 or other repository where that information resides must be specified either using the ‘location’ or ‘agency’ properties. If both are specified, they must define the equivalent location. The additional properties included in any given profile are defined by the registry service operating on or returning the profile, and may not necessarily contain any additional properties other than those defining identity and location.

    In order to access the content held within a framework according to the present invention, the agent 13 or other user creates a search mask in the form of a query 46. The query 46 is a particular variant of the above-described profile set that defines a set of property values which are to be compared to the equivalent properties in one or more profiles. A query differs from a regular property set in that it may contain values that may deviate from the MARS 25 specification in that properties normally allowing only a single value may have multiple values defined in a query 46.

    The normal interpretation of multiple query values is to apply ‘OR’ logic such that the property matches if any of the query values match any of the target values; however, a given registry service is permitted, depending on the application, to apply ‘AND’ logic requiring that all query values match a target value, and optionally that every target value is matched by a query value. Accordingly, it must be clearly specified for a registry service if ‘AND’ logic is being applied to multiple query value sets. Furthermore, query values for properties of MARS type String may contain valid POSIX regular expressions rather than literal strings; in which case the property matches if the specified regular expression pattern matches the target value. Query values may be prefixed by one of several comparison operators, with one or more mandatory intervening space characters between the operator and the query value. The order of comparison for binary operators is: query value {operator} target value.

    Not all comparison operators are necessarily meaningful for all property value types, nor are all operators required to be supported by any given registry service. It must be clearly specified for every registry service which, if any, comparison operators are supported in input queries.

    In the rare case that a literal string value begins with a comparison operator followed by one or more intervening spaces, the initial operator character should be preceded by a backslash character ‘\’. The registry service must then identify and remove the backslash character before any comparisons. Examples of some comparison operators are given below:

    Negation "!"

    The property matches if the query value fails to match the target value. E.g. "! approved".

    LessThan "<"

    The property matches if the query value is less than the target value. E.g. "<2.5".

    Greater Than ">"

    The property matches if the query value is greater than the target value. E.g. ">draft".

    Less Than or Equal To "<="

    The property matches if the query value is less than or equal to the target value. E.g. "<=2000-09-22".

    Greater Than or Equal To

    The property matches if the query value is greater than or equal to the target value. E.g. ">=5000".

    Wildcard Value Operator

    Any property in a query may have specified for it the special value regardless of property type, which effectively matches any defined value in any target. The wildcard value does not however match a property which has no value defined for it. The wildcard value operator may be preceded by the negation operator.

    The special wildcard operator is particularly useful for specifying the level of Identity scoping of the returned profiles for a registry 43 that stores profiles for multiple levels of scope. It is also used to match properties where all that is of interest is that they have some value defined but it does not matter what the value actually is. Alternatively, when combined with the negation operator, to match properties that have no value defined. The latter is useful for validation and quality assurance processes to isolate information that is missing mandatory or critical metadata properties.

    The wildcard value operator should be preceded by a backslash character ‘\’ in the rare case that a literal string value equals the wildcard value operator. The registry service should then identify and remove the backslash character before any comparisons.

    Each variant of REGS 31 has the following commonality of architecture which is defined by the metadata properties it allows and requires in each profile, the metadata properties it allows and requires in a given search query and whether returned profiles are scored and ordered according to relevance. These three criteria define the interface by which the registry service interacts with all source archives and all users.

    A particular registry service will extract from a given archive 27 or be provided by or on behalf of the archive the profiles for all targets of interest which a user may search on, and containing all properties defined for each target which are relevant to the particular registry 43. There profiles are stored in the database 43. Depending on the nature of the registry 43, this may include profiles for both abstract media objects 41, media instances, and media components 37 as well as physical storage items 35 or even qualified data items. Some property values for a profile may be dynamically generated specifically for the registry 43, such as the automated identification or extraction of keywords or index terms from the data content, or similar operations.

    The profiles from several archives 21 may be combined by the registry service into a single search space 43 for a given application or environment. The location and/or agency properties serve to differentiate the source locations of the various archives 21 from which the individual profiles originate.

    All registry services 43 define and search over profiles, and those profiles define bodies of information at either an abstract or physical scope; i.e. media objects 41, media instances 39, media components 37, or storage items 35. A given registry database might contain profiles for only a single level of scope or for several levels of scope.

    If a query 46 does not define any Identity properties, then the registry service 20 via a query resolution engine 45 should return 48 all matching profiles regardless of scope; however, if the query 46 defines one or more Identity properties, then all profiles returned 48 by the engine 45, should be of the same level of scope as the lowest scoped Identity property defined in the search query 46.

    A specific level of scope can be specified in a query 46 by using the special wildcard value "*" for the scope of interest (e.g. "component=meta item=* . . . " to find all storage items within meta components which otherwise match the remainder of the query).

    Each set of profiles returned for a given search may be optionally scored and ordered by relevance by the engine 45, according to how closely they match the input query 46. The score must be returned as a value to the MARS ‘relevance’ property. The criteria for determining relevance is up to each registry service 43, but it must be defined as a percentage value where zero indicates no match whatsoever, 100 indicates a "perfect" match (however that is defined by the registry service), and a value between zero and 100 reflects the closeness of the match proportionally. The scale of relevance from zero to 100 is expected to be linear.

    A registry service 43 can be directed by a user, or by implementation, to apply two types of thresholds to constrain the total number of profiles 48 returned by a given search 46. Both thresholds may be applied together to the same search results. The MARS ‘size’ property can be specified in the search query (or applied implicitly by the registry service) to define the maximum number of profiles to be returned 48. In the case that profiles are scored and ordered by relevance, the maximum number of profiles is to be taken from the highest scoring profiles.

    Similarly, the MARS ‘relevance’ property can be specified in the search query (or applied implicitly by the registry service) to define the minimum score that must be equaled or exceeded by every profile returned. In this regard specifying a minimum relevance of 100 requires that targets match perfectly, allowing the user or agent to select between best match and absolute match.

    All property sets (including profiles and queries) which are received/imported by and returned/exported from a registry service via a data stream should be encoded as XML instances conforming to the MARS DTD. This includes sets of profiles extracted from a given archive 44, search queries 46 received from client applications, and sets of profiles returned as the results of a search 48.

    If multiple property sets are defined in a MARS XML instance provided as a search request 46, then each property set is processed as a separate query 46, and the results of each query 46 returned 48 in the order specified, combined in a single XML instance. Any sorting or reduction by specified thresholds is done per each query only 46. The results 48 from the separate queries 46 are not combined in any fashion other than concatenated into the single returned XML instance.

    Every registry service may organize and manage its internal registry database using whatever means is optimal for that particular service. It is not required to utilize or preserve any XML encoding of the profiles.

    Most registry services 43 may include an additional CGI or other web based component 47 that provides a human-usable interface for a terminal 49 operable fan specifying queries 46 and accessing search results 48. This typically acts as a specialized proxy to the general registry service, converting the user specified metadata 50 to a valid MARS query 46′ and then mapping the returned XML 48′ instance containing the target profiles to HTML 52 for viewing and selection.

    The interface or proxy component 47 preferably provides the following functionality in delivering results to the user. The set of returned profiles should be presented as a sequence of links, preserving any ordering based on relevance scoring. Each profile link should be encoded as an (X)HTML ‘a’ element within a block element or other visually distinct element (‘p’, ‘Ii’, ‘td’, etc.). The URL value of the ‘href’ attribute of the ‘a’ element should be constructed from the profile, based on the ‘location’ and/or ‘agency’ properties, which will resolve to the content of (or access interface for) the target. If the ‘relevance’ property is defined in the profile, its value should begin the content of the ‘a’ element, differentiated clearly from subsequent content by punctuation or structure such as parentheses, comma, colon, separate table column, etc. If the ‘title’ property is defined in the profile, its value should complete the content of the ‘a’ element. Otherwise, a (possibly partial) MRN should be constructed from the profile and complete the content of the ‘a’ element.

    Examples:
  • <html>
  • <body>
  • <p>
  • <a href="http://xyz.com/GMA?action=retrieve&identifier= . . . ">(98)Foo</a>
  • </p>
  • <p>
  • <a href="http://xyz.com/GMA?action=retrieve&identifier . . . ">(87)Bar</a>
  • </p>
  • <p>
  • <a href="http://xyz.com/GMA?action=retrieve&idefltifier= . . . ">(37)Bas</a>
  • <p>
  • </body>
  • </html>
  • <html>
  • <body>
  • <table>
  • <tr>
  • <th>Score</th>
  • <th>Target</th>
  • </tr>
  • <tr>
  • <td>98</td>
  • <td><a
  • href="http://xyz.com/GMA? action=retrieve&identifier= . . . ">Foo</a></td>
  • <tr>
  • <td>87</td>
  • <td><a
  • href="http://xyz.com/GMA?action=retrieve&identifier= . . . ">Bar</a></td>
  • </tr>
  • <tr>
  • <td >37</td>
  • <td><a
  • href="http://xyz.com/GMA?action=retrieve&identifier= . . . ">Bas</a></td>
  • </table>
  • </body>
  • </html>


  • In order to assist still further in understanding this aspect of the invention, a number of different examples of REGS 31 suited to particular activities are set out below. In each case, a brief description is provided, as well as a specification of which metadata properties are required or allowed for profiles and for queries. The ‘action’ property may be required to be specified with the value ‘locate’ in all registry service queries, therefore, it is not included in the required query property specifications for each registry service. Likewise, the ‘relevance’ and ‘size’ properties are allowed for all input queries to all registry services, therefore, they are also not explicitly listed in the allowed query property specifications for each registry service.

    Metadata Registry Service (META-REGS) provides for searching the complete metadata property sets (including inherited values) for all identifiable bodies of information, concrete or abstract; including media objects, media instances, media components, storage items and qualified data items. The results of a search are a set of profiles defining zero or more targets at the lowest level of Identity scope for which there is a property defined in the search query. All targets in the results may be of the same level of scope, even if the registry database contains targets at all levels of scope.

    The wildcard operator can be used to force a particular level of scope in the results. For example, to define media instance scope, only one instance property need be defined with the wildcard operator value (e.g. "language=*"); to define media component scope, the component property can be defined with the wildcard operator value (e.g. "component=*"); etc. The registry service may not require nor expect that any particular instance property be used, nor that only one property be used. It may not be permitted for two or more instance properties to have both wildcard and negated wildcard operator values in a given input query.

    The default behavior is to provide the best matches for the specified query; however, by defining in the input query a value of 100 for the ‘relevance’ property, the search results may only include those targets which match the query perfectly. The former is most useful for general browsing and exploration of the information space and the latter for collection and extraction of specifically defined data.

    Required profile properties for META-REGS include all Identity properties required to uniquely identify the body of information in question, as well as either the ‘location’ or ‘agency’ property. Allowed profile properties for META-REGS include any valid MARS property, in this case being all defined MARS properties applicable to the body of information in question. It is preferred that the ‘title’ property be defined for all profiles, whenever possible.

    There are no required query properties for META-REGS although at least one property must be specified in the search query other than the ‘action’ property. Allowed query properties for META-REGS include any valid MARS property.

    Content Registry Service (CON-REGS) provides for searching the textual content of all media instances within the included archives. It corresponds to a traditional "free-text index" such as those employed by most web sites. The results of a search are a set of profiles defining zero or more data component data storage items or qualified data items.

    Profiles may be defined only for data storage items and qualified data items (e.g. fragments) that belong to the data component of a media instance. Other components and other items belonging to the data component should not be included in the search space of a CON-REGS registry service. Note that in addition to actual fragment items, profiles for "virtual" fragments can be defined using a combination of the ‘pointer’ and (if needed) ‘size’ properties, where appropriate for the media type (e.g. for specific sections of an XML document instance).

    For each data item, the ‘keywords’ property may be defined as the unique, minimal set of index terms for the item, typically corresponding to the morphological base forms (linguistic forms independent of inflection, derivation, or other lexical variation) excluding common "stop" words such as articles ("the", "a"), conjunctions ("and", "whereas"), or semantically weak words ("is", "said"), etc. It is expected that the same tools and processes for distilling arbitrary input into minimal forms are applied both in the generation of the registry database as well as for all relevant input query values.

    The scope of the results, such as whole data items versus fragments, can be controlled using the ‘fragment’ property and the wildcard value operator "*" for the scope of interest. For example, "fragment=*" will force the search to only return profiles of matching fragments and not of whole data items; whereas "fragment=!*" will only return profiles of matching whole data storage items. If otherwise unspecified, all matching profiles for all items will be returned, which may result in redundant information being identified.

    A human user interface will likely hide the definition of the ‘fragment’ property behind a more mnemonic selection list or set of checkboxes, providing a single field of input for the query keywords. If a given value for the ‘keywords’ property contains multiple words separated by white space, then all of the words must occur adjacent to one another in the order specified in the target content. Note that this is not the same as multiple property values where each value contains a single word. The set of all property values (string set) constitute an OR set, while the set of words in a single property value (string) constitute a sequence (phrase) in the target. White space sequences in the query property value can be expected to match any white space sequence in the target content, even if those two sequences are not identical (i.e. a space can match a newline or tab, etc.).

    A human user interface 47 provides a mechanism for defining multiple ‘keywords’ property values as well as for differentiating between values having a single word and values containing phrases or other white space delimited sequences of words. In the interest of consistency across registry services, when a single value input field is provided for the ‘keywords’ or similar property, white space may be used to separate multiple values by default and multi-word values are specially delimited by quotes to indicate that they constitute the same value (e.g., the field [a b "c1 c2 c3" d] defines t four values, the third of which has three words).

    It is permitted for special operators or commands to CON-REGS to be interspersed within the set of ‘keywords’ values, such as those controlling boolean logic, maximal or minimal adjacency distances, etc. It is up to the registry service to ensure that no ambiguity arises between CON-REGS operators and actual values or between REGS special operators and CON-REGS operators. REGS special operators always take precedence over any CON-REGS operators.

    Required CON-REGS profile properties are all Identity and Qualifier properties required to uniquely identify each data storage item or qualified data item in question; either the ‘location’ or ‘agency’ property; and the ‘keywords’ property containing a unique, minimal set of index terms for the item in question. Allowed CON-REGS profile properties are all required properties, as well as the ‘title’ property (recommended).

    Required CON-REGS query properties are the ‘keywords’ property containing the set of index terms to search on which may need to be distilled into a unique, minimal set of base forms by the registry service. Allowed CON-REGS query properties are all required properties, as well as the ‘fragment’ property with either wildcard value or negated wildcard value only.

    Typological Registry Service (TYPE-REGS) provides for searching the set of ‘class’ property values (including any inherited values) for all media instances according to the typologies defined for the information contained in the included archives. The results of a search are a set of profiles defining zero or more media instances.

    In addition to the literal matching of property values, such as provided by META-REGS, TYPE-BEGS also matches query values to target values taking into account one or more "IS-A" type hierarchies as defined by the typologies employed such that a target value which is an ancestor of a query value also matches (e.g., a query value of "dog" would be expected to match a target value of "animal"). If only exact matching is required (such that, e.g., "dog" only matches "dog") then META-REGS should be used.

    TYPE-REGS does not differentiate between classification values that belong to different typologies nor for any ambiguity which may arise from a single value being associated with multiple typologies with possibly differing semantics. It is only responsible for efficiently locating all media instances that have defined values matching those in the input query. If conflicts arise from the use of multiple typologies within the same environment, it is recommended that separate registry databases be generated and referenced for each individual typology.

    Required TYPE-REGS profile properties are those Identity properties which explicitly and completely define the media instance, one or more values defined for the ‘class’ property, as well as either the ‘location’ or ‘agency’ property. Allowed TYPE-REGS profile properties are all required properties, as well as the ‘title’ property (recommended).

    Required TYPE-BEGS query properties are the ‘class’ property containing the set of classifications to search. Allowed TYPE-BEGS query properties are restricted to the ‘class’ property which is the only property allowed in TYPE-BEG search queries.

    Dependency Registry Service (DEP-REGS) provides for searching the set of Association property values (including any inherited values) which can be represented explicitly using MARS Identity semantics for all bodies of information in the included archives. The results of a search are a set of profiles defining zero or more targets 30 matching the search query.

    DEP-REGS may be used to identify relationships between bodies of information within a given environment such as a document which serves as the basis for a translation to another language or a conversion to an alternate encoding, a high level diagram which summarizes the basic characteristics of a much more detailed low level diagram or set of diagrams, a reusable documentation component which serves as partial content for a higher level component, etc.

    The ability to determine such relationships, many of which may be implicit in the data in question, is crucial for managing large bodies of information where changes to one media instance may impact the validity or quality of other instances. For example, to locate all targets that immediately include a given instance in their content, one would construct a query containing the ‘includes’ property with a value consisting of a URI identifying the instance, such as an MRN. DEP-REGS would then return profiles for all targets that include that instance as a value of their ‘includes’ property. Similarly, to locate all targets that contain referential links to a given instance, one would construct a query containing the ‘refers’ property with a value identifying the instance.

    DEP-REGS can be seen as a specialized form of META-REGS, based only on the minimal set of Identity and Association properties. Furthermore, in contrast to the literal matching of property values such as performed by META-REGS, DEP-REGS matches Association query values to target values by applying on-the-fly mapping between all equivalent URI values when making comparisons; such as between an MRN and an Agency CGI URL, or between two non-string-identical Agency CGI URLs, which both define the same resource (regardless of location). Note that if the META-REGS implementation provides such equivalence mapping of URI values, then a separate DEP-REGS implementation is not absolutely required, though one may be still employed on the basis of efficiency, given the highly reduced number of properties in a DEP-REGS profile.

    Required DEP-REGS profile properties are the identity properties that explicitly and completely define the body of information, all defined Association properties, as well as either the ‘location’ or ‘agency’ property. Allowed DEP-REGS profile properties are all required properties, as well as the ‘title’ property (recommended).

    Required DEP-REGS query properties are one or more Association properties. Allowed DEP-REGS query properties are one or more Association properties.

    Process Registry Service (PRO-BEGS) provides for searching over 15 sequences of state or event identifiers (state chains) which are associated with specific components of or locations within procedural documentation or other forms of temporal information. The results of a search are a set of profiles defining zero or more targets matching the search query.

    PRO-REGS can be used for, among other things, "process sensitive help" where a unique identifier is associated with each significant point in procedures or operations defined by procedural documentation, and software which is monitoring, guiding, and/or managing the procedure keeps a record of the procedural states activated or executed by the user. At any time, the running history of executed states can be passed to PRO-BEGS as a query to locate documentation which most closely matches that sequence of states or events, up to the point of the current state, so that the user receives precise information about how to proceed with the given procedure or operation exactly from where they are. The procedural documentation would presumably be encoded using some form of functional mark-up (e.g. SGML, XML, HTML) and generation of the profiles identifying paths to states or steps in the procedural documentation would be automatically generated based on analysis of the data content, recursively extracting the paths of special state identifiers embedded in the mark-up and producing a profile identifying a qualified data item to each particular point in the documentation using the ‘pointer’ property.

    Required PRO-REGS profile properties are the identity properties that explicitly and completely define the body of information, the ‘class’ property defining the sequence of state identifiers up to the information in question, as well as either the ‘location’ or ‘agency’ property. Allowed PRO-REGS profile properties are all required properties, as well as the ‘title’ property (recommended).

    Required PRO-REGS query properties are the ‘class’ property defining a sequence of state identifiers based on user navigation history. Allowed PRO-REGS query properties are restricted solely to the ‘class’ property allowed in search queries.

    It was noted previously that in order to improve the readability of the specification, sections that describe in detail all aspects of a particular function processing or operability and that relate to the description relating to the embodiments described herein, would be included at the end of the specification. These sections are detailed following and include sections for the Metia Framework for Electronic Media, Media Attribution and Reference Semantics (MARS), Portable Media Archive (PMA), Generalized Media Archive (GMA), and Registry Service Architecture (REGS).

    Metia Framework for Electronic Media

    1 Scope

    This section defines the Metia Framework for Electronic Media, a generalized metadata driven framework for the management and distribution of electronic media.

    2 Overview

    The Metia Framework defines a set of standard, open and portable models, interfaces, and protocols facilitating the construction of tools and environments optimized for the management, referencing, distribution, storage, and retrieval of electronic media; as well as a set of core software components (agents) providing functions and services relating to archival, versioning, access control, search, retrieval, conversion, navigation, and metadata management. The Metia Framework is designed to embody the following qualities and characteristics:

    Open

    The framework is based on open standards and proven technologies wherever possible, and all framework specific properties and characteristics are fully documented.

    Scalable

    Environments based on the framework should function equally well with both few and many agents, on a single machine or across a distributed network, and on both small and large systems; where performance issues are primarily tied to the properties and capabilities of the individual agents and/or systems and network bandwidth, and not to properties of the framework itself.

    Modular

    All agents within a given environment interact efficiently and effectively with one another with little to no specialized configuration and with no special knowledge of the implementation details of particular agents.

    Portable

    Agents conforming to the framework can be implemented on a broad range of platforms using practically any tools, programming languages, or other means. The core software components provided by the framework itself are implemented in Java, providing maximal portability to different platforms and environments.

    Distributed

    Agents are not limited to data or the services of other agents running on the same machine, but may interact (often transparently) with agents running on any machine which is accessible over the network.

    Reusable

    The framework provides for maximal use and reuse of existing software components and agents, where more complex agents are implemented using the services of more specialized agents. This allows refinement and extension of processes with little to no modification to any existing implementation.

    Extensible

    Additional agents may be added to any environment based on the framework with little to no impact to and/or reconfiguration of any existing agents.

    3 Related Documents, Standards, and Specifications

    3.1 Media Attribution and Reference Semantics (MARS)

    Media Attribution and Reference Semantics (MARS), a component of the Metia Framework, is a metadata specification framework and core standard vocabulary and semantics facilitating the portable management, referencing, distribution, storage and retrieval of electronic media.

    3.2 Generalized Media Archive (GMA)

    The Generalized Media Archive (GMA), a component of the Metia Framework, defines an abstract archival model for the storage and management of data based solely on Media Attribution and Reference Semantics (MARS) metadata; providing a uniform, consistent, and implementation independent model for information storage and retrieval, versioning, and access control.

    3.3 Portable Media Archive (PMA)

    The Portable Media Archive (PMA), a component of the Metia Framework, is a physical organization model of a file system based data repository conforming to and suitable for implementations of the Generalized Media Archive (GMA) abstract archival model.

    3.4 Registry Service Architecture (REGS)

    The Registry Service Architecture (REGS), a component of the Metia Framework, is a generic architecture for dynamic query resolution agencies based on the Metia Framework and Media Attribution and Reference Semantics (MARS), providing a unified interface model for a broad range of search and retrieval tools.

    3.5 HyperText Transfer Protocol (HTTP)

    The Hypertext Transfer Protocol (HTTP) is an application-level protocol for distributed, collaborative, hypermedia information systems. It is a generic, stateless, protocol which can be used for many tasks beyond its use for hypertext, such as name servers and distributed object management systems, through extension of its request methods, error codes and headers. A feature of HTTP is the typing and negotiation of data representation, allowing systems to be built independently of the data being transferred. The Metia Framework distributed collaboration model is based primarily on HTTP.

    3.6 Common Gateway Interface (CGI)

    The Common Gateway Interface (CGI) is a standard for interfacing external applications with information servers, such as Web servers. Within the new Metia Framework, CGI will serve as the primary communication mechanism between networked clients and software agents.

    3.7 Portable Operating System Interface (POSIX)

    POSIX (Portable Operating System Interface) is a set of standard operating system interfaces based on the UNIX operating system. The POSIX interfaces were developed under the auspices of the IEEE (Institute of Electrical and Electronics Engineers). The Metia Framework adopts the POSIX models for command line arguments, standard input streams, standard output streams, and standard error streams.

    3.8 CORBA

    CORBA specifies a system which provides interoperability between objects in a heterogeneous, distributed environment and in a way transparent to the programmer. Its design is based on OMG Object Model. Metia Framework agents may utilize CORBA as one of several means of agent intercommunication.

    3.9 Java

    Java is both a programming language and a platform. Java is a high-level programming language that claims to be simple, architecture-neutral, object-oriented, portable, distributed, high-performance, interpreted, multithreaded, robust, dynamic, and secure. The Java platform is a "virtual machine" which is able to run any Java program on any machine for which an implementation of the Java virtual machine (JVM) exists, which is most operating systems commonly in use today. The core software components and agents provided by the Metia Framework are implemented in Java.

    3.10 W3C TR REC-xml: XML (Extensible Markup Language)

    The extensible Markup Language (XML) describes a class of data objects called XML documents and partially describes the behavior of computer programs which process them. XML is an application profile or restricted form of SGML, the Standard Generalized Markup Language. By construction, XML documents are conforming SGML documents. XML is used for the serialization, interchange, and (typically) persistent storage of MARS metadata property sets. The Metia Java SDK provides for the importation and exportation of MARS XML encoded instances to and from MARS class instances.

    3.11 W3C TR rdf-syntax: RDF (Resource Description Framework)

    The Resource Description Framework (RDF) is a foundation for processing metadata; it provides interoperability between applications that exchange machine-understandable information in a distributed environment. The Metia Framework uses RDF for defining the semantics of metadata properties.

    3.12 W3C TR rdf-schema: RDF Schemas

    RDF Schemas provides information about the interpretation of the statements given in an RDF data model and may be used to specify constraints that should be followed by these data models. The Metia Framework uses RDF Schemas for relating metadata properties and values a to disjunct but synonymous vocabularies such as Nokia Metadata for Documents and the Dublin Core.

    4 Key Terms and Concepts

    4.1 Agent

    An agent is a software application which conforms to the interface and protocol requirements defined by this specification, and which provides one or more specific and well defined services or operations. Per the general qualities derived from the Metia Framework, every agent can be said to exhibit the following two qualities:

    Modular

    The implementation details of the agent are hidden behind the generic interfaces and protocols of the framework, such that any other agent, user, client, or process can interact with the agent without any privileged knowledge of its internal workings.

    Distributed

    Every agent is accessible over the network from any system which has access to the system on which the agent resides. In addition to the above, an agent may also exhibit one or more of the following qualities:

    Intelligent

    An agent may be sensitive to the environment, system, or particular context in which it is operating, automatically adjusting its behavior accordingly.

    Replicating

    An agent may create copies of itself to optimize processing of a given operation by dividing portions of the task to each copy, which (depending on the underlying system) may be executed in parallel.

    Persistent

    An agent may remain in memory and function beyond the duration of a single operation, maintaining information from previous operations which may optimize or otherwise facilitate subsequent operations.

    Collaborative

    An agent may utilize the services of other agents to perform an operation, and management of available agents and their services may be handled by a specialized "broker" agent with which available agents register. A collaborative agent is typically also a persistent agent.

    Mobile

    An agent may move from machine to machine (create a copy of itself on another machine and then terminate), if needed to accomplish a given operation (such as updating information in a variety of locations). A mobile agent is typically also a persistent, replicating agent.

    4.2 Agency

    An agency is a set of specific and well defined services and/or operations typically implemented by a set of agents (or other software components, systems, or tools) which are organized under and accessed via a single managing agent. Technically, every agent can be viewed as an agency. The difference is primarily one of perspective. An agency is the abstract functionality and behavior embodied in (or provided via) an agent. The agent itself may be nothing more than a proxy to some other system or service (such as an RDBMS application) which actually implements those services. Thus, while the agent may essentially provide the full range of functionality defined for an agency, it may not implement the full functionality of the agency itself.

    5 Framework Architecture

    The Metia Framework architecture is based on a standard web server running on a platform which provides the basic POSIX command line and standard input/output stream functionality (see diagram on next page). One of the goals of the framework is to be media neutral, such that the particular encoding of any data is not relevant to storage by or interchange between agents. This does not mean that specific encodings or other media constraints may not exist for any given environment implementing the framework, depending on the operating system(s), tools, and processes used, only that the framework itself aims not to impose any such constraints itself. Every agent conforming to the framework must provide two interfaces: (1) HTTP+CGI, and (2) POSIX command line+standard input/output/error. In addition to these, an agent may also provide interfaces based on (3) Java method invocation and/or (4) CORBA method invocation. These interfaces are defined in greater detail below. Any given agent (or other user, client, or process) is free to choose among the available interfaces provided by an agent; whichever is most optimal for the particular context or application. Non-agent systems, processes, tools, or services which are utilized by an agent can still be accessed via proprietary means if necessary or useful for any operations or processes outside of the scope of the framework. Thus, framework based tools and services can co-exist freely with other tools and services utilizing the same resources.

    5.1 Framework Protocols and Interfaces

    5.1.1 Media Attribution and Reference Semantics (MARS)

    MARS is the language by which agents communicate and is the "heart" of the Metia Framework. All other protocols and interfaces defined by the framework are merely a means to transfer data streams which are defined, directed, and controlled by MARS metadata. See section 6.1 and the separate MARS specification.

    5.1.2 POSIX

    The framework adopts the POSIX standard specifications for command line arguments, standard input stream, standard output stream, and standard error stream as the primary local (system internal) interface used for agent intercommunication and data interchange. Every framework agent must provide a POSIX interface. See section 5.2.1 below regarding MARS command line and standard input parameter encoding.

    5.1.3 HTTP+CGI

    The framework adopts HTTP+CGI as the primary distributed (network) interface used for agent intercommunication and data interchange. Every framework agent must provide an HTTP+CGI interface using the HTTP GET method. See section 5.2.1 below regarding MARS CGI parameter encoding.

    5.1.4 Java

    Agents which are implemented using the Metia Framework SDK will provide for direct method invocation according to the Agency Java interface, included in the SDK.

    5.1.5 CORBA

    Agents may provide for direct method invocation via a CORBA interface according to the Agency IDL interface, included in the Metia Framework SDK.

    5.2 Agent Intercommunication

    Agents communicate with one another, and with external clients and processes, using MARS metadata semantics, encoded as a property set (a set of values associated with named properties. MARS property sets are the only allowed means of communication, regardless of the interface used.

    5.2.1 Property Set Specification

    MARS property sets can be passed to any agent in one of the following ways:
  • 1. Command Line Arguments (multiple sets separated by the special argument ‘--’)
    Examples:
  • -identifier xyz123-language en -encoding xhtml
  • -identifier abc -- -identifier def -- -identifier ghi
  • 2. HTTP/CGI (multiple sets separated by the special valueless field ‘--’)
    Examples:
  • http:// . . . &identifier=xyz123&language=en&encoding=xhtml
  • http:// . . . &identifier=abc&--&identifier=def&--&identifier=ghi
  • 3. Standard Input, encoded as XML instance
    Examples:
  • <?xml version=‘1.0’?> <MARS>
    <property_set>
    <identifier><token>xyz123</token></identifier> <language><l:en/></language> <encoding><xhtml/></encoding>
    </property_set>
    </MARS> <?xml version=‘1.0’?> <MARS>
    <property_set>
    <identifier><token>abc</token></identifier>
    </property_set> <property_set>
    <identifier><token>def</token></identifier>
    </property_set> <property_set>
    <identifier><token>ghi</token></identifier>
    </property_set>
    </MARS>
  • 4. Software method invocation (passing instantiated MARS object).
    Examples:
  • myAgent.retrieve(myMARS);
  • myAgent.generate(sourceMARS, targetMARS);
    Command Line/CGI arguments take precedence over standard input, and if specified, standard input, if any, is treated only as an input data stream. Most interaction between agents will specify operations via either command line or CGI arguments. Every agent, regardless of implementation, must provide support for the first three interfaces defined above (command line, CGI, and standard input). Agents implemented using the Metia SDK must provide support for the fourth interface defined above (method invocation).
    5.2.2 Interpretation of Multiple Property Sets


  • If multiple property sets are specified, either via arguments or standard input, then they are to be interpreted as follows:
  • 1. The first property set must contain an action property value.
  • 2. If only one property set is defined, then the single action is performed as specified by the property set.
  • 3. If the action of the first property set is ‘store’, then either both the component property must equal ‘meta’ and the item property must equal ‘data’ or the item property must equal ‘meta’; in which case the second property set is taken to be a metadata property set to be stored persistently. It is then an error for there to be more than two property sets in the input.
  • 4. If the action of the first property set is ‘generate’, then the first property set is taken as defining the target of the generation and the second property set is expected to define the source of the generation which must be retrieved. Any subsequent property sets are taken to be part of a compound action to be applied in succession to the results of the generation. It is then an error for any subsequent property set not to have an action defined.
  • 5. If all property sets have an action defined, then the input is taken to be a compound action, and each action is to be applied to the results of the previous action in succession. If a preceding action returns a data stream, then the subsequent action is to take that stream as input; otherwise, it is to retrieve the first item explicitly specified by a preceding property set.
  • 6. If the ‘locate’ action is included in a compound action sequence, then the chain of subsequent actions following the locate action are applied in succession to each of the items identified by the locate action.


  • All other combinations of property sets are either invalid or left to the custom interpretation of the particular agent. It is not permitted for any Metia agent to apply an interpretation which conflicts with the interpretation specified above.

    5.2.3 Diagnostics and Error Notification

    All errors, warnings, cautions, and other notes output by an agent which are not part of a result value must be output on the standard error port composed as an XML instance conforming to the Metia Framework Diagnostics DTD:

    5.2.3.1 Diagnostic Notification Types

    The Metia Framework Diagnostics DTD provides for the following notification types:

    Error

    An error signals an occurance which prevents an agent from continuing a particular process or task. The error condition may or may not be recoverable. Typically it is not.

    Warning

    A warning constitutes a condition or occurance which could cause loss or corruption of information, damage to equipment, or failure of a critical service.

    Caution

    A caution constitutes a condition or occurance which could affect the efficiency of equipment or of a service, or which may limit the effectiveness of a given process.

    Note

    A note constitutes any general information about equipment, a service, a process, or data which is considered significant.

    Debug

    A debug notification is any general information about the operation of the agent as regards its implementation and which might be meaningful to developers or maintainers of the agent software.

    The content of any given notification is free-form may consist of pre-formatted diagnostics from legacy tools or systems, well formed XML markup, or any other textual data. By default, any given agent receiving diagnostics from another agent is required only to be able to recognize the particular notification type(s) and optionally display the literal notification(s) content (including any markup) to an end-user. Particular agents, however, may contract to use specific markup for notification content to facilitate specialized processing and/or display of notifications.

    5.2.3.2 Diagnostics in a CGI Environment

    In the case of an agent operating in a CGI environment, which does not provide for separate standard output and standard error streams, diagnostics may be returned either in place of the return value (in the case of a fatal error) or as part of a multipart MIME stream consisting first of the return value and secondly of the diagnostics instance.

    6 Framework Components

    The Metia Framework is comprised of a number of components, each defining a core area of functionality needed in the construction of a complete production and distribution environment.

    Each framework component is defined separately by its own specification. This section only summarizes the role of each component within the Metia Framework. Please consult the specification for each framework component for more detailed information.

    6.1 Media Attribution and Reference Semantics (MARS)

    Media Attribution and Reference Semantics (MARS) is a metadata specification framework and core standard vocabulary and semantics facilitating the portable management, referencing, distribution, storage and retrieval of electronic media.

    MARS is the common "language" by which the different Metia Framework agencies communicate.

    MARS is designed specifically for the definition of metadata for use by automated systems and for the consistent, platform independent communication between software components storing, exchanging, modifying, accessing, searching, and/or displaying various types of electronic media such as documentation, images, video, etc. It is designed with considerations for automated processing and storage by computer systems in mind, not particularly for direct consumption by humans; though mechanisms are provided for associating with any given metadata property one or more presentation labels for use in user interfaces, reports, forms, etc. MARS aims to fulfill the following two goals:
  • 1. To define a framework within which metadata can be explicitly defined and efficiently and reliably processed by automated systems.
  • 2. To define a core metadata vocabulary of properties and values for automated systems used for storing, exchanging, operating on, and/or displaying electronic media.


  • Utilizing a common abstract metadata vocabulary and semantics for all reference and communication functions by all agents within the framework affords a considerable amount of modularity, salability, and flexibility for any given set of agents, as each agent constitutes a "black-box" and specific implementation details are irrelevant insofar as their interaction with users and other agents is concerned, and new agents added to an environment are immediately and transparently usable by existing processes. The core MARS vocabulary also provides for an information rich environment enabling processes and operations not possible using only simple identifiers such as filenames, URL's, DOI's, and similar.

    6.1.1 XML

    XML is used for the serialization, interchange, and (typically) persistent storage of MARS metadata property sets. The Metia Java SDK provides for the importation and exportation of MARS XML encoded instances to and from MARS class instances.

    6.1.2 XML DTD

    An XML DTD for the general framework and for the core properties defined by MARS is defined as a component of the Metia Framework. The common tools and processes operating on or directed by MARS metadata must support metadata property value sets encoded as XML instances conforming to this DTD.

    The defined DTD provides mechanisms by which additional properties and property values are defined as needed by particular business units, product lines, processes, etc.

    6.1.3 XML Schema

    An XML Schema for the general framework and for the core properties defined by MARS is defined as a component of the Metia Framework, and the common tools and processes operating on or directed by MARS metadata must support metadata property value sets encoded as XML instances conforming to this Schema.

    The XML Schema provides for more rigorous validation of MARS XML instances, and is recommended over validation by DTD wherever possible. The defined XML Schema provides mechanisms by which additional properties and property values are defined as needed by particular business units, product lines, processes, etc.

    6.1.4 RDF Schema

    An RDF Schema for the core properties defined by MARS is defined as a component of the Metia Framework, and which grounds their semantic interpretation of MARS in the Dublin Core and Nokia Metadata for Documents, as well as provides a foundation for defining additional semantic qualities of the core vocabulary and its relationships to other vocabularies.

    6.2 Generalized Media Archive (GMA)

    The Generalized Media Archive (GMA) is an abstract archival model for the storage and management of data based solely on Media Attribution and Reference Semantics (MARS) metadata; providing a uniform, consistent, and implementation independent model for information storage and retrieval, versioning, and access control.

    The GMA is a central component of the Metia Framework and serves as the common archival model for all managed media controlled and/or accessed by Metia Framework agencies. It constitutes an Agency, which may be implemented as one or more Agents.

    The GMA provides a uniform, generic, and abstract organizational model and functional interface to a potentially wide range of actual archive implementations; independent of operating system, file system, repository organization, or other implementation details. This abstraction facilitates the creation of tools, processes, and methodologies based on this generic model and interface which are insulated from the internals of the GMA compliant repositories with which they interact.

    The GMA defines specific behavior for basic storage and retrieval, access control based on user identity, versioning, and automated generation of variant encodings. The identity of individual storage items is based on MARS and all interaction between a client and a GMA implementation must be expressed as MARS metadata property sets.

    6.3 Portable Media Archive (PMA)

    The Portable Media Archive (PMA) is a physical organization model of a file system based

    data repository conforming to and suitable for implementations of the Generalized Media

    Archive (GMA) abstract archival model.

    The PMA defines an explicit yet highly portable file system organization for the storage and retrieval of information based on Media Attribution and Reference Semantics (MARS) metadata. The PMA uses the MARS Identity and Item Qualifier metadata property values themselves as directory and/or file names, avoiding the need for a secondary referencing mechanism and thereby simplifying the implementation, maximizing efficiency, and producing a mnemonic organizational structure.

    Any GMA may use a physical organization model other than the PMA. The PMA physical archival model is not a requirement of the GMA abstract archival model. However, the PMA may nevertheless be employed by such implementations both as a data interchange format between disparate GMA implementations as well as a format for storing portable backups of a given archive.

    6.4 Registry Service Architecture (REGS)

    The Registry Service Architecture (REGS) is a generic architecture for dynamic query resolution agencies based on the Metia Framework and Media Attribution and Reference Semantics (MARS), providing a unified interface model for a broad range of search and retrieval tools. A particular registry service constitutes an Agency, which may be implemented as one or more Agents.

    REGS provides a generic means to interact with any number of specialized search and retrieval tools using a common set of protocols and interfaces based on the Metia Framework; namely MARS metadata semantics and either a POSIX or CGI compliant interface. As with other Metia Framework components, this allows for much greater flexibility in the implementation and evolution of particular solutions while minimizing the interdependencies between the tools and their users (human or otherwise).

    Being based on MARS metadata allows for a high degree of au