Framework of Semantic Web Service Discovery Based on Fuzzy Logic and Multi-phase Matching

摘要

Web service discovery has become increasingly more important as the prevailing use of web service. According to the inadequateness of current discovery methods to deal with the vague information of web service, a framework of semantic web service discovery based on fuzzy logic and multi-phase matching is proposed in this paper, which exploits domain ontology, fuzzy logic and linguistic variable to present web service capability and vague information in formal description and implements approximately reasoning. Firstly, an abstract level-based service description model is given to describe web service information. Then, multi-phase matching process, including two-stage filtering and two-level matching, is detailed expressed. A case study is conducted to describe the process details of the proposed method, and the results show that it can manage web service vague information and improve the efficiency of web service discovery.