ITtalks: A Case Study in the Semantic Web and DAML+OIL

  • Authors:
  • R. Scott Cost;Tim Finin;Anupam Joshi;Yun Peng;Charles Nicholas;Ian Soboroff;Harry Chen;Lalana Kagal;Filip Perich;Youyoung Zou;Sovrin Tolia

  • Affiliations:
  • -;-;-;-;-;-;-;-;-;-;-

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

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Abstract

Effective use of the multitude of information available on the Web will require the use of Semantic Web markup languages such as the DARPA Agent Markup Language Ontology Inference Layer (DAML+OIL). These languages will enable automated information gathering and processing and facilitate the integration of multiagent systems with the existing information infrastructure. As part of our exploration of Semantic Web technology and DAML+OIL in particular, the authors constructed ITtalks, a Web-based system for automatic and intelligent notification of information technology talks. In this article, they describe the ITtalks system and discuss the numerous ways in which Semantic Web concepts and DAML+OIL extend its ability to provide an intelligent online service to both the human community and the agents assisting them.