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

Xitong Li, Stuart E. Madnick and Hongwei Zhu
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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

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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.

Keywords: Interpretation conflicts; Web services (search for similar items in EconPapers)
Date: 2013-11
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Published in ACM Transactions on Internet Technology, 2013, 13 (1), pp.NC. ⟨10.1145/2532638⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01069122

DOI: 10.1145/2532638

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