An Improved Semantic Search Model Based on Hybrid Fuzzy Description Logic

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