DAML+OIL: An Ontology Language for the Semantic Web

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Citation: Deborah L. McGuinness and Richard Fikes and James A. Hendler and Lynn Andrea Stein. (2002) DAML+OIL: An Ontology Language for the Semantic Web. In IEEE Intelligent Systems, September/October,2002.

Publication inproceedings ( Edit )
type InProceedings
bibtype inproceedings
Bibtex basics
author Deborah L. McGuinness and Richard Fikes and James A. Hendler and Lynn Andrea Stein
title DAML+OIL: An Ontology Language for the Semantic Web
booktitle IEEE Intelligent Systems
year 2002
month September/October
Bibtex more
note Vol. 17, No. 5
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abstract By all measures, the Web is enormous and growing at a staggering rate. This growth has made it both increasingly difficult and increasingly important for humans and programs to quickly and accurately access Web information and services. A semantic Web-in which meanings of terms are captured and exploited-can provide the foundation for convenient Web content access. The DARPA Agent Markup Language (DAML) program aims to provide a language and toolset that enables the Web to transform from a platform that focuses on presenting information to a platform that focuses on understanding and reasoning with information. In this article, we describe the DAML language; its goal is to capture term meanings, and thereby providing a Web ontology language. In addition to a brief history of the language's evolution, we introduce the ontology language DAML+OIL by way of examples and include an axiomatization of the language.

KSL Technical Report ID: KSL-02-06
Facts about DAML+OIL: An Ontology Language for the Semantic WebRDF feed
Abstract By all measures, the Web is enormous and g By all measures, the Web is enormous and growing at a staggering rate. This growth has made it both increasingly difficult and increasingly important for humans and programs to quickly and accurately access Web information and services. A semantic Web-in which meanings of terms are captured and exploited-can provide the foundation for convenient Web content access. The DARPA Agent Markup Language (DAML) program aims to provide a language and toolset that enables the Web to transform from a platform that focuses on presenting information to a platform that focuses on understanding and reasoning with information. In this article, we describe the DAML language; its goal is to capture term meanings, and thereby providing a Web ontology language. In addition to a brief history of the language's evolution, we introduce the ontology language DAML+OIL by way of examples and include an axiomatization of the language. include an axiomatization of the language.
Author Deborah L. McGuinness and Richard Fikes and James A. Hendler and Lynn Andrea Stein  +
Bibtype inproceedings  +
Booktitle IEEE Intelligent Systems  +
Has author Deborah L. McGuinness and Richard Fikes and James A. Hendler and Lynn Andrea Stein  +
Has identifier KSL-02-06  +
Has publishing details September/October,2002  +
Has title DAML+OIL: An Ontology Language for the Semantic Web  +
Has where published IEEE Intelligent Systems  +
Has year 2002  +
Ksl tr id KSL-02-06  +
Month September/October  +
Note Vol. 17, No. 5
Process note NO  +
Title DAML+OIL: An Ontology Language for the Semantic Web  +
Year 2002  +
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