A semantic-aware framework for composite services engineering based on semantic similarity and concept lattices

Ahmed Abid, Nizar Messai, Mohsen Rouached, Thomas Devogele, Mohamed Abid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a semantic framework called IDECSE for composite Web services modeling and engineering. This framework uses semantic similarity measures and Formal Concept Analysis formalism to generate classes of similar services that can be composable to satisfy users queries and preferences. A reasoning mechanism is also proposed to produc reliable composite services. By considering semantics for describing, discovering, composing, and monitoring services, IDECSE addresses the challenge of achieving a full governance of the composition process.

Original languageEnglish
Title of host publicationInformation Systems Engineering in Complex Environments - CAiSE Forum 2014, Selected Extended Papers
PublisherSpringer Verlag
Pages148-164
Number of pages17
Volume204
ISBN (Print)9783319192697
DOIs
Publication statusPublished - 2015
EventInternational Conference on Advanced Information Systems Engineering , CAiSE Forum 2014 - Thessaloniki, Greece
Duration: Jun 16 2014Jun 20 2014

Publication series

NameLecture Notes in Business Information Processing
Volume204
ISSN (Print)1865-1348

Other

OtherInternational Conference on Advanced Information Systems Engineering , CAiSE Forum 2014
CountryGreece
CityThessaloniki
Period6/16/146/20/14

Keywords

  • Formal concept analysis
  • Semantic similarity
  • Semantic web services
  • Web services composition

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Management Information Systems
  • Business and International Management
  • Information Systems
  • Modelling and Simulation
  • Information Systems and Management

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  • Cite this

    Abid, A., Messai, N., Rouached, M., Devogele, T., & Abid, M. (2015). A semantic-aware framework for composite services engineering based on semantic similarity and concept lattices. In Information Systems Engineering in Complex Environments - CAiSE Forum 2014, Selected Extended Papers (Vol. 204, pp. 148-164). (Lecture Notes in Business Information Processing; Vol. 204). Springer Verlag. https://doi.org/10.1007/978-3-319-19270-3_10