• DocumentCode
    1973329
  • Title

    Spectral Graph Approach for Process Model Matchmaking

  • Author

    Belhoul, Yacine ; Haddad, Mario ; Gater, Ahmed ; Grigori, Daniela ; Kheddouci, Hamamache ; Bouzeghoub, Mokrane

  • Author_Institution
    LIRIS, Univ. de Lyon, Lyon, France
  • fYear
    2013
  • fDate
    June 28 2013-July 3 2013
  • Firstpage
    408
  • Lastpage
    415
  • Abstract
    In this paper, we propose a novel approach for graph based web service matching. Our approach is inspired by spectral graph matching methods, in particular, by eigen-based projections. We introduce new mechanisms to perform the matchmaking at both structural and semantic levels. These mechanisms are based on algebraic graph techniques that make them run fast and thus suitable for large scale web service matching problems. Experimentation is provided to show the performance of the proposed approach.
  • Keywords
    algebra; eigenvalues and eigenfunctions; graph theory; Web service matching problems; algebraic graph; eigen based projections; graph based Web service matching; process model matchmaking; semantic levels; spectral graph matching methods; Analytical models; Computational modeling; Connectors; Eigenvalues and eigenfunctions; Matrix decomposition; Semantics; Symmetric matrices; process model matchmaking; spectral graph; structural and semantic matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2013 IEEE International Conference on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5026-8
  • Type

    conf

  • DOI
    10.1109/SCC.2013.27
  • Filename
    6649722