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DAML+OIL: An Ontology Language for the Semantic Web
September/October 2002 (vol. 17 no. 5)
pp. 72-80

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.

Index Terms:
ontology language, markup language, Semantic Web, DAML, OIL, DARPA
Deborah L. McGuinness, Richard Fikes, James Hendler, Lynn Andrea Stein, "DAML+OIL: An Ontology Language for the Semantic Web," IEEE Intelligent Systems, vol. 17, no. 5, pp. 72-80, Sept.-Oct. 2002, doi:10.1109/MIS.2002.1039835
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