Knowledge Systems Laboratory
Stanford University

Abstract: OIL: An Ontology Infrastructure for the Semantic Web

Currently, computers are changing from single isolated devices to entry points into a worldwide network of information exchange and business transactions. Support in the exchange of data, information, and knowledge is becoming the key issue in computer technology today. Ontologies provide a shared and common understanding of a domain that can be communicated between people and across application systems. Ontologies will play a major role in supporting information exchange processes in various areas. A prerequisite for such a role is the development of a joint standard for specifying and exchanging ontologies well integrated with existing Web standards. This article deals with precisely this necessity. The authors present OIL, a proposal for such a standard enabling the semantic Web. It is based on existing proposals such as OKBC, XOL, and RDFS and enriches them with necessary features for expressing rich ontologies. The article presents the motivation, underlying rationale, modeling primitives, syntax, semantics, tool environment, and applications of OIL.

Dieter Fensel, Ian Horrocks, Frank van Harmelen, Deborah L. McGuinness, and Peter F. Patel-Schneider. ``OIL: An Ontology Infrastructure for the Semantic Web ''. In IEEE Intelligent Systems, Vol. 16, No. 2, March/April 2001.

The KSL abstract is available as is the published pdf form, local pdf form, and published abstract. Both published papers are from the Intelligent Systems site.

Return to Selected Papers of Deborah L. McGuinness.

home | people | software and network services | projects | contact | technical reports | links

Copyright @2000 Stanford University
All Rights Reserved.