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

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 convers...

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Main Authors: Li, Xitong, Madnick, Stuart E., Zhu, Hongwei
Other Authors: Sloan School of Management
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2014
Online Access:http://hdl.handle.net/1721.1/87777
https://orcid.org/0000-0001-9240-2573
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author Li, Xitong
Madnick, Stuart E.
Zhu, Hongwei
author2 Sloan School of Management
author_facet Sloan School of Management
Li, Xitong
Madnick, Stuart E.
Zhu, Hongwei
author_sort Li, Xitong
collection MIT
description 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.
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spelling mit-1721.1/877772022-10-02T01:32:23Z A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition Li, Xitong Madnick, Stuart E. Zhu, Hongwei Sloan School of Management Li, Xitong Madnick, Stuart E. 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. 2014-06-13T17:15:29Z 2014-06-13T17:15:29Z 2013-11 2013-03 Article http://purl.org/eprint/type/JournalArticle 15335399 http://hdl.handle.net/1721.1/87777 Xitong Li, Stuart E. Madnick, and Hongwei Zhu. 2013. A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition. ACM Trans. Internet Technol. 13, 1, Article 1 (November 2013), 27 pages. https://orcid.org/0000-0001-9240-2573 en_US http://dx.doi.org/10.1145/2532638 ACM Transactions on Internet Technology Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) MIT web domain
spellingShingle Li, Xitong
Madnick, Stuart E.
Zhu, Hongwei
A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition
title A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition
title_full A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition
title_fullStr A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition
title_full_unstemmed A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition
title_short A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition
title_sort context based approach to reconciling data interpretation conflicts in web services composition
url http://hdl.handle.net/1721.1/87777
https://orcid.org/0000-0001-9240-2573
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