Large-Scale Repositories of Highly Expressive Reusable Knowledge

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Citation: Richard Fikes and Adam Farquhar. (1997) Large-Scale Repositories of Highly Expressive Reusable Knowledge. In KSL-97-02, April,1997.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Richard Fikes and Adam Farquhar
title Large-Scale Repositories of Highly Expressive Reusable Knowledge
number KSL-97-02
institution Knowledge Systems, AI Laboratory
address Stanford, CA, USA
year 1997
month April
Bibtex more
note (Updated March 1998).
Access Paper
abstract We present a vision of next generation tools and services that will enable the widespread development and use of computer interpretable ontologies. Central to that vision is the notion of distributed ontology repositories resident on multiple ontology servers containing large-scale highly structured ontologies and supported by sophisticated ontology construction, testing, merging, extraction, reformulation, and translation tools. The key enabler in the distributed ontology repository architecture is a network application programming interface (API) for ontology servers that will support storage, manipulation, and access to the contents of ontologies on a server. We describe how OKBC, an API specifically designed to provide knowledge-level interoperability among server and client systems, provides that support. We then consider the criteria for an ontology representation language and an agenda of extensions to current ontology representation languages that address major deficiencies in those languages and appear to be attainable in next generation languages. Finally, we address the issue of what reasoning is needed to support ontology repository construction and use, and describe a deductive retrieval facility under development for the Ontolingua ontology server that includes a theorem prover which runs as a background task to reformulate sentences so that are accessible by the server's special purpose high speed retrieval methods.

KSL Technical Report ID: KSL-97-02
Facts about Large-Scale Repositories of Highly Expressive Reusable KnowledgeRDF feed
Abstract We present a vision of next generation too … We present a vision of next generation tools and services that will enable the widespread development and use of computer interpretable ontologies. Central to that vision is the notion of distributed ontology repositories resident on multiple ontology servers containing large-scale highly structured ontologies and supported by sophisticated ontology construction, testing, merging, extraction, reformulation, and translation tools. The key enabler in the distributed ontology repository architecture is a network application programming interface (API) for ontology servers that will support storage, manipulation, and access to the contents of ontologies on a server. We describe how OKBC, an API specifically designed to provide knowledge-level interoperability among server and client systems, provides that support. We then consider the criteria for an ontology representation language and an agenda of extensions to current ontology representation languages that address major deficiencies in those languages and appear to be attainable in next generation languages. Finally, we address the issue of what reasoning is needed to support ontology repository construction and use, and describe a deductive retrieval facility under development for the Ontolingua ontology server that includes a theorem prover which runs as a background task to reformulate sentences so that are accessible by the server's special purpose high speed retrieval methods. cial purpose high speed retrieval methods.
Address Stanford, CA, USA  +
Author Richard Fikes and Adam Farquhar  +
Bibtype techreport  +
Has author Richard Fikes and Adam Farquhar  +
Has identifier KSL-97-02  +
Has publishing details April,1997  +
Has title Large-Scale Repositories of Highly Expressive Reusable Knowledge  +
Has where published KSL-97-02  +
Has year 1997  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-97-02  +
Month April  +
Note (Updated March 1998).
Number KSL-97-02  +
Process note NO  +
Title Large-Scale Repositories of Highly Expressive Reusable Knowledge  +
Year 1997  +
Retrieved from "http://tw.rpi.edu/wiki/Large-Scale_Repositories_of_Highly_Expressive_Reusable_Knowledge"
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