• DocumentCode
    2537520
  • Title

    Ant-Inspired Technique for Automatic Web Service Composition and Selection

  • Author

    Pop, Cristina Bianca ; Chifu, Viorica Rozina ; Salomie, Ioan ; Dinsoreanu, Mihaela ; David, Tudor ; Acretoaie, Vlad

  • Author_Institution
    Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    449
  • Lastpage
    455
  • Abstract
    This paper presents a technique for semantic Web service composition inspired by the behavior of ants. The proposed technique combines a service composition graph model with the ant colony optimization met heuristic to select the optimal composition solution. In our approach, we have considered as selection criteria the QoS attributes of the services and the semantic quality of the connections between the services involved in a composition solution.
  • Keywords
    Web services; optimisation; quality of service; QoS attributes; ant colony optimization; ant-inspired technique; automatic Web service composition; automatic Web service selection; optimal composition solution; selection criteria; semantic Web service composition; semantic quality; service composition graph model; Clustering algorithms; Hospitals; Optimization; Quality of service; Semantics; Throughput; Web services; ant-based composition selection; composition graph model; ontology; semantic Web service; semantic matching; web service composition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2010 12th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4244-9816-1
  • Type

    conf

  • DOI
    10.1109/SYNASC.2010.35
  • Filename
    5715322