A Fuzzy Framework for Semantic Web Service Description, Matchmaking, Ranking and Selection
Semantic Web Services (SWSs) provide a semantic representation of web services that provides a welldefined semantics in order to make them computerinterpretable, use-apparent, and agent-ready. In the last years it is becoming more and more accepted the idea that current Semantic Web technologies are not appropriate to deal with imprecise and vague knowledge, inherent to several real world domains. This paper proposes a fuzzy logic-based framework that makes service description, discovery and selection more flexible, and that includes support for non-functional properties. In particular, we extend OWL-S services by including a fuzzy domain ontology, which improves the definition of functional properties, and a fuzzy Quality of Service ontology, which improves the definition of non-functional properties. We also show how to enhance the tasks of SWS selection and ranking by means of fuzzy reasoning.
Ehsan Sharifi Reza A. Moghadam Fernando Bobillo Mohamad M. Ebadzadeh
Dpt. of Computer Science Payam noor University, Tehran, Iran Dpt. of Computer Science and S.E. University of Zaragoza, Spain Dpt. of Computer Science Amirkabir University of Technology Tehran, Iran
国际会议
上海
英文
640-644
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）