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A structural-semantic web service selection approach to improve retrievability of web services

Author

Listed:
  • Martin Garriga

    (Universidad Nacional del Comahue (UNComa)
    (CONICET))

  • Alan De Renzis

    (Universidad Nacional del Comahue (UNComa)
    (CONICET))

  • Ignacio Lizarralde

    (Universidad Nacional del Centro de la Provincia de Buenos Aires (UNPCBA)
    (CONICET))

  • Andres Flores

    (Universidad Nacional del Comahue (UNComa)
    (CONICET))

  • Cristian Mateos

    (Universidad Nacional del Centro de la Provincia de Buenos Aires (UNPCBA)
    (CONICET))

  • Alejandra Cechich

    (Universidad Nacional del Comahue (UNComa))

  • Alejandro Zunino

    (Universidad Nacional del Centro de la Provincia de Buenos Aires (UNPCBA)
    (CONICET))

Abstract

Service-Oriented Computing promotes building applications by consuming and reusing Web Services. However, the selection of adequate Web Services given a client application is still a major challenge. The effort of assessing and adapting candidate services could be overwhelming due to the “impedance” of Web Service interfaces expected by clients versus the actual interfaces of retrieved Web Services. In this work, we present a novel structural-semantic approach to help developers in the retrieval and selection of services from a service registry. The approach is based on a comprehensive structural scheme for service Interface Compatibility analysis, and WordNet as the semantic support to assess identifiers of operations and parameters. We also empirically analyze, compare and contrast the performance of three service selection methods: a pure structural approach, a pure semantic approach, and the structural-semantic (hybrid) approach proposed in this work. The experimental analysis was performed with two data-sets of real-world Web Services and a service discovery support already published in the literature. Results show that our hybrid service selection approach improved effectiveness in terms of retrievability of Web Services compared to the other approaches.

Suggested Citation

  • Martin Garriga & Alan De Renzis & Ignacio Lizarralde & Andres Flores & Cristian Mateos & Alejandra Cechich & Alejandro Zunino, 2018. "A structural-semantic web service selection approach to improve retrievability of web services," Information Systems Frontiers, Springer, vol. 20(6), pages 1319-1344, December.
    • Handle: RePEc:spr:infosf:v:20:y:2018:i:6:d:10.1007_s10796-016-9731-1
    DOI: 10.1007/s10796-016-9731-1
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    References listed on IDEAS

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    1. Marcus Kessel & Colin Atkinson, 2016. "Ranking software components for reuse based on non-functional properties," Information Systems Frontiers, Springer, vol. 18(5), pages 825-853, October.
    2. Hala S. Own & Hamdi Yahyaoui, 2015. "Rough set based classification of real world Web services," Information Systems Frontiers, Springer, vol. 17(6), pages 1301-1311, December.
    3. Wuhui Chen & Incheon Paik, 2013. "Improving efficiency of service discovery using Linked data-based service publication," Information Systems Frontiers, Springer, vol. 15(4), pages 613-625, September.
    4. Zijie Cong & Alberto Fernandez & Holger Billhardt & Marin Lujak, 2015. "Service discovery acceleration with hierarchical clustering," Information Systems Frontiers, Springer, vol. 17(4), pages 799-808, August.
    5. Marco Crasso & Alejandro Zunino & Marcelo Campo, 2011. "Combining query-by-example and query expansion for simplifying web service discovery," Information Systems Frontiers, Springer, vol. 13(3), pages 407-428, July.
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    Cited by:

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    3. Amit V. Deokar & Jie Tao, 2021. "OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs," Information Systems Frontiers, Springer, vol. 23(3), pages 753-772, June.

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