A Fuzzy Logic Based Approach to Expressing and Reasoning with Uncertain Knowledge on the Semantic Web

摘要

The necessity of dealing with uncertain knowledge has arisen from Semantic Web applications in different areas. Handling uncertainty thus becomes one of the key research directions in the Semantic Web community. This paper introduces a fuzzy logic based approach which extends the classic Description Logic with Zadeh semantics to deal with uncertain knowledge about concepts and roles as well as instances of concepts and roles. Uncertain knowledge representation and the reasoning algorithm for consistency checking of a fuzzy knowledge base are addressed in detail. This paper also discusses complexity issues of the reasoning problem.