NDLI: A fuzzy framework for Semantic Web Service description, matchmaking, ranking and selection

Content Provider	IEEE Xplore Digital Library
Author	Sharifi, E. Moghadam, R.A. Bobillo, F. Ebadzadeh, M.M.
Copyright Year	2011
Description	Author affiliation: Dpt. of Computer Science and S.E., University of Zaragoza, Spain (Bobillo, F.) \|\| Dpt. of Computer Science, Amirkabir University of Technology, Tehran, Iran (Ebadzadeh, M.M.) \|\| Dpt. of Computer Science, Payam noor University, Tehran, Iran (Sharifi, E.; Moghadam, R.A.)
Abstract	Semantic Web Services (SWSs) provide a semantic representation of web services that provides a well-defined semantics in order to make them computer-interpretable, 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.
Starting Page	621
Ending Page	625
File Size	324556
Page Count	5
File Format	PDF
ISBN	9781612841809
e-ISBN	9781612841816
DOI	10.1109/FSKD.2011.6019550
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web services OWL Semantics Quality of service Ontologies
Content Type	Text
Resource Type	Article

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