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An Improved Semantic Search Model Based on Hybrid Fuzzy Description Logic

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5 Author(s)
Ruixuan Li ; Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan ; Kunmei Wen ; Zhengding Lu ; Xiaolin Sun
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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 cannot 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 role-based 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

Published in:

Frontier of Computer Science and Technology, 2006. FCST '06. Japan-China Joint Workshop on

Date of Conference:

Nov. 2006

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