Extending legacy agent knowledge base systems with semantic Web compatibilities

Po Chun Chen, Guruprasad Airy, Prasenjit Mitra, John Yen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Knowledge bases with inference capabilities play a significant role in an intelligent agent system. Towards the vision of the semantic Web, the compatibility of knowledge representation is critically important. However, a legacy system that was developed without this consideration would have compatibility gaps between its own knowledge representation and the semantic Web standards. In order to solve this problem, we present a systematical approach to extend a legacy agent knowledge base to be able to handle and reason information encoded in standard semantic Web languages. The algorithms presented in this paper are applicable to compatible rule-based systems, and the methodology can be applied to other knowledge systems.

Original languageEnglish (US)
Title of host publicationICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems
Pages131-134
Number of pages4
StatePublished - Dec 13 2010
Event12th International Conference on Enterprise Information Systems, ICEIS 2010 - Funchal, Portugal
Duration: Jun 8 2010Jun 12 2010

Publication series

NameICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems
Volume4 SAIC

Other

Other12th International Conference on Enterprise Information Systems, ICEIS 2010
CountryPortugal
CityFunchal
Period6/8/106/12/10

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management

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