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Example of OOR Architecture

Open Ontology Repository Architecture – Some Considerations

April 28-29, 2008

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Open Ontology Repository Architecture – Some Considerations

Preliminary concepts for Ontology Summit 2008 at National Institutes of Standards and Technologies (NIST), Gaithersburg MD April 28-29, 2008Dr. Ravi Sharma, Senior Enterprise Architect, Technology Excellence Center, Vangent, Inc. (Views expressed are Professional inputs – not necessarily endorsed by any Organization or the Summit.)"Content may be reused with attribution to the Author and Company".

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Open Ontology Repository Architecture – Some Considerations

1. Assumptions:1). Machine Interpretability – avoid unstructured

exclusive flat text only content2). Open distributed federated registry and

repository3). Minimum mandatory Metadata required for

ingesting ontology definition in to repository4). Self preservation, security and authentication

and registration of new ontologies5). Collaborative client access to ontology

content on owner sites

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2. Considerations:● Availability - contents are distributed in

multiple locations● Scalability – as type and instances of

ontologies increase● Registry could start by simple concepts

such as ID and Owner, Subject, Date, URI etc.● Repository at minimum holds metadata

may later scale up to support higher functionality such as reasoners, solvers, sample content, Notations (e.g. UML), test-beds, etc.

Open Ontology Repository Architecture – Some Considerations

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3. Architectural aspects – some illustrated in visuals, not all options available or necessary

● Infrastructure, storage and security, Standards, test-beds (for example NIST Testbed?)

● Metadata and information, engines for serving content for actual applications

● Translators for interoperability among different ontology types / versions and instances

● Synchronization / interoperation with other autonomous repositories and registries

● Workflow, business process, event processing and federation scenarios

● Metamodel of the repository, rules for views and joins among metadata aggregations

● Higher functionality – Query, Search, Relationships (Triples, N-ary), KM Models

Open Ontology Repository Architecture – Some Considerations

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Open Ontology Repository Architecture – Example