DAML+OIL: An Ontology Language for the Semantic Web

  • Authors:
  • Deborah L. McGuinness;Richard Fikes;James Hendler;Lynn Andrea Stein

  • Affiliations:
  • -;-;-;-

  • Venue:
  • IEEE Intelligent Systems
  • Year:
  • 2002

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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.