Approximate semantic query based on multi-agent systems

Authors:
Yinglong Ma;Kehe Wu;Beihong Jin;Shaohua Liu
Affiliations:
School of Computer Sciences and Technology, North China Electric Power University, Beijing, P.R. China;School of Computer Sciences and Technology, North China Electric Power University, Beijing, P.R. China;Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing, P.R. China;Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing, P.R. China
Venue:
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Year:
2006

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Abstract

Within multi-agent systems, it is almost impossible for multiple Web agents to completely share a same vocabulary. This makes multi-agent communication difficult. In this paper, we proposed an approach for better multi-agent communication using approximation technology of semantic terminology across multiple ontolgies. This method uses description logic language for describing ontological information and perform approximate query across multiple ontologies