Knowledge Systems Laboratory
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
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.
Frank van Harmelen,
Deborah L. McGuinness,
Peter F. Patel-Schneider.
``OIL: An Ontology Infrastructure for the Semantic Web
IEEE Intelligent Systems, Vol. 16, No. 2, March/April 2001.
abstract is available as is the
abstract. Both published papers are from the Intelligent Systems site.
Selected Papers of Deborah L. McGuinness.