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Knowledge Systems Laboratory
Stanford University
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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.
