An Improved Semantic Search Model Based on Hybrid Fuzzy Description Logic
Ruixuan Li, Kunmei Wen, Zhengding Lu, Xiaolin Sun, Zhigang Wang · 2006
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