Improved semantic retrieval method based on domain ontology

Authors:
Dong-hui Yuan;Da-you Liu;Shi-qun Shen;Pu Yan
Affiliations:
College of Computer Science and Technology, Jilin University, Changchun, China and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Chan ...;College of Computer Science and Technology, Jilin University, Changchun, China and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Chan ...;College of Computer Science and Technology, Jilin University, Changchun, China and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Chan ...;College of Computer Science and Technology, Jilin University, Changchun, China and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Chan ...
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Year:
2009

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Abstract

Semantic retrieval is a hot area of Web search technology constantly because of the growing information. This paper proposed a creative semantic retrieval method with Path Weight Semantic Distance (PWSD) algorithm which is improved from current model. Based on the domain ontology built by protégé, PWSD considers both the hierarchy and the property restrictions of the concepts synthetically, and provides an accurate computation of semantic distance between conceptions. We have investigated the feasibilities, advantages and statistical significances from the comparison between our system and personalized categorization system (PCAT) and found that our system has high performances with 95% or higher statistical significance for short queries tasks.