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A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition

Author

Listed:
  • Xitong Li

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • Stuart E. Madnick

    (MIT - Massachusetts Institute of Technology)

  • Hongwei Zhu

    (UMass Lowell - University of Massachusetts [Lowell] - UMASS - University of Massachusetts System)

Abstract

We present a comprehensive classification of data misinterpretation problems and develop an approach to automatic detection and reconciliation of data interpretation conflicts in Web services composition. The approach uses a lightweight ontology augmented with modifiers, contexts, and atomic conversions between the contexts. The WSDL descriptions of Web services are annotated to establish correspondences to the ontology. Given the naive Business Process Execution Language (BPEL) specification of the desired Web services composition with data interpretation conflicts, the approach can automatically detect the conflicts and produce the corresponding mediated BPEL. Finally, we develop a prototype to validate and evaluate the approach.

Suggested Citation

  • Xitong Li & Stuart E. Madnick & Hongwei Zhu, 2013. "A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition," Post-Print hal-01069122, HAL.
    • Handle: RePEc:hal:journl:hal-01069122
    DOI: 10.1145/2532638
    as

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    Keywords

    Interpretation conflicts; Web services;

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