An Improved Semantic Search Model Based on Hybrid Fuzzy Description Logic
出版社：
- 会议名称：2006 Japan-China Joint workshop on Frontier of Computer Science and Technology(FCST 2006)
- 举办地点：Aizu-wakamatsu,Japan
- 举办日期：November 2006
- 页数：
摘要内容：
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 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.
