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Article
A context model for semantic mediation in Web services composition
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Michael Mrissa, Université Claude Bernard Lyon 1
  • Chirine Ghedira, Université Claude Bernard Lyon 1
  • Djamal Benslimane, Université Claude Bernard Lyon 1
  • Zakaria Maamar, Zayed University
Document Type
Conference Proceeding
Publication Date
1-1-2006
Abstract

This paper presents a context-driven approach that aims at supporting semantic mediation between composed Web services. Despite the widespread adoption of Web services by the IT community, innovative solutions are needed in order to overcome the challenging issue that relates to the semantic disparity of exchanged data. Indeed, there is a lack of means for interpreting these data according to the contextual requirements of each Web service. The context-driven approach suggests two steps. The first step consists of developing a model for anchoring context to data flowing between Web services. In the second step, we use this model to support the semantic mediation between Web services engaged in a composition. © Springer-Verlag Berlin Heidelberg 2006.

ISBN
354047224X
Publisher
Springer Verlag
Keywords
  • Data flow analysis,
  • Data reduction,
  • Information services,
  • Information technology,
  • Mathematical models,
  • Semantics,
  • IT community,
  • Semantic disparity,
  • Semantic mediation,
  • Web services,
  • World Wide Web
Scopus ID
33845213167
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/11901181_3
Citation Information
Michael Mrissa, Chirine Ghedira, Djamal Benslimane and Zakaria Maamar. "A context model for semantic mediation in Web services composition" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 4215 LNCS (2006) p. 12 - 25 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0302-9743" target="_blank">0302-9743</a>
Available at: http://works.bepress.com/zakaria-maamar/22/