A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition
Name
Madnick_A context-based.pdf
Size
728.24 KB
Format
Adobe PDF
Checksum (MD5)
d358a63168797ea93258fa6ebbce5511
Author(s)
Li, Xitong
Madnick, Stuart E.
Zhu, Hongwei
Date Issued
November 2013
Journal
ACM Transactions on Internet Technology
Publisher
Association for Computing Machinery (ACM)
Citation
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.
Version
Author's final manuscript
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.
MIT Department
Sloan School of Management
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2532638
