Towards a Knowledge-Based Framework for Agents Interacting in the Semantic Web

  • Authors:
  • Kalliopi Kravari;Efstratios Kontopoulos;Nick Bassiliades

  • Affiliations:
  • -;-;-

  • Venue:
  • WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
  • Year:
  • 2009

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Abstract

The Semantic Web aims at making Web content understandable both for people and machines. Although intelligent agents can assist towards this vision, they do not have to conform to a common rule or logic paradigm. This paper reports on the first steps towards a framework for interoperating knowledge-based intelligent agents. A multi-agent system was extended with defeasible reasoning and a reusable agent model is proposed for customizable agents, equipped with a knowledge base and a Jess rule engine. Two use case scenarios display the integration of these technologies.