An Improved Semantic Search Model Based on Hybrid Fuzzy Description Logic

Authors:
Ruixuan Li;Kunmei Wen;Zhengding Lu;Xiaolin Sun;Zhigang Wang
Affiliations:
Huazhong University of Science & Technology, China;Huazhong University of Science & Technology, China;Huazhong University of Science & Technology, China;Huazhong University of Science & Technology, China;Huazhong University of Science & Technology, China
Venue:
FCST '06 Proceedings of the Japan-China Joint Workshop on Frontier of Computer Science and Technology
Year:
2006

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Abstract

We propose an improved semantic search model through integrating inference and information retrieval (IR) based on hybrid fuzzy description logic (DL) and implement it in security domain. A type-2 fuzzy DL is described and employed in the semantic search model. The proposed model is a hybrid one which combines type-1 fuzzy DL and type-2 fuzzy DL. It can not only search the resources according to the trust degree rules based on type-2 fuzzy DL, but also locate the exact resource using IR based on type-1 fuzzy DL. The complete model provides trust degree management to extend the search capabilities. In addition, we build a security ontology based on rolebased access control (RBAC) policy. A semantic search system, Onto-SSSE, is implemented based on the basic model. The system can perform queries based on ontology reasoning. The experimental results show that the new system performs better than exiting schemes.