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
Title of host publicationICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems
Pages131-134
Number of pages4
Volume4 SAIC
Publication statusPublished - 2010
Externally publishedYes
Event12th International Conference on Enterprise Information Systems, ICEIS 2010 - Funchal
Duration: 8 Jun 201012 Jun 2010

Other

Other12th International Conference on Enterprise Information Systems, ICEIS 2010
CityFunchal
Period8/6/1012/6/10

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Keywords

  • Agent
  • Knowledge base
  • Rule-based system
  • Semantic web

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

Cite this

Chen, P. C., Airy, G., Mitra, P., & Yen, J. (2010). Extending legacy agent knowledge base systems with semantic Web compatibilities. In ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems (Vol. 4 SAIC, pp. 131-134)