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Enhancing Semantic Web Services Discovery Using Similarity of Contextual Profile
Authors:
Zahira Chouiref
Abdelkader Belkhir
Allel Hadjali
Keywords: Semantic Web Services; Context; Profile; Semantic Web Services Discovery; Hybrid Similarity Measure.
Abstract:
Due to the proliferation of Web services and to the complexity and diversity of users' needs, new efficient mechanisms to automatically discover Web services are strongly required and desired. Recent advances have enabled the supply/consumption of services by suppliers/users of different categories. Every user has some particular interests and preferences when searching appropriate services on the Web. Supporting the "service profile" in the specification of Web services becomes then a paramount important issue. It can especially help applicants and Web services providers to produce accurate descriptions and thus improve the degree of relevance of the responses returned in the process of Web services discovery. In this paper, we present a novel method in the view of users requirements for Web services discovery. Especially, we propose (i) a framework to model the end user and the Web service contextual profile for best search, (ii) as well as a solution of semantic Web services discovery based on contextual profile similarity. This similarity is performed using a hybrid similarity measure we have defined.
Pages: 95 to 99
Copyright: Copyright (c) IARIA, 2013
Publication date: June 23, 2013
Published in: conference
ISSN: 2308-3972
ISBN: 978-1-61208-280-6
Location: Rome, Italy
Dates: from June 23, 2013 to June 28, 2013