A combination framework for semantic based query across multiple ontologies

Authors:
Yinglong Ma;Kehe Wu;Beihong Jin;Wei Li
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;School of Computer Sciences and Technology, North China Electric Power University, Beijing, P.R. China
Venue:
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Year:
2006

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Abstract

It is crucial for ontology engineers to compose these heterogeneous ontologies for effective and scalable interoperability among Web agents. In this paper, we propose a combination framework based on effective and scalable ontology interoperability for high-quality query answering. We also put forward a specifical process to substantiate our combination approach. The underlying theoretical and empirical analyses are exploited for ensuring effectiveness and correctness of the approach. Experimental results from our prototype system show that high-quality query results but sacrifice some of reasoning complexity.