Concepts discrimination research

Authors:
Jianbo Xu;Chengwei Ma;Jiaxun Chen
Affiliations:
Information College, Donghua University, Shanghai, People's Republic of China;Aviation University of Air Force, People's Republic of China;Information College, Donghua University, Shanghai, People's Republic of China
Venue:
ISP'06 Proceedings of the 5th WSEAS International Conference on Information Security and Privacy
Year:
2006

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Abstract

Concepts discrimination is proposed to improve precision for information retrieval. Based on Ontology, semantic correlation between the ontology concepts and the user keywords of information retrieval is measured to fix on a semantic context that the computer can understand. Concepts synonymous extension is used to improve the probability of matching the concepts with the user keywords. Several coefficients definitions are used to denote the correlated extent of ontology concepts and the user keywords. Sorting these coefficients is to choose the most suitable concepts for the user keywords. With these suitable concepts, A distinct semantic context for the user keywords is worked out.