Research Article Open Access

SEMANTIC CONFLICTS DETECTION OF HETEROGENEOUS MESSAGES OF WEB SERVICES: CHALLENGES AND SOLUTION

Wan Nurhayati Wan Ab. Rahman1, Rodziah Atan1, Abdul Azim Abdul Ghani1 and Ibrahim Ahmed Al-Baltah1
  • 1 Universiti Putra Malaysia, Malaysia

Abstract

Service Oriented Architecture (SOA) is a new design style that has promised to alleviate the semantic interoperability problem between Web services. Exchanging the messages seamlessly between heterogeneous Web services is required but, it is still difficult due to data heterogeneity. As a result, a noticeable number of works has been proposed with the aim of solving this problem, but yet, the problem has not been solved efficiently. Furthermore, it is important to observe the lack of sufficient approaches in the state of the art, whose purposes are semantic conflicts detection between heterogeneous messages of Web services. It is for these reasons we take a step back to the detection step before providing the solution. This study proposes a new ontology-based approach that aim at detecting semantic conflicts between heterogeneous messages of Web services. The main purposes of this approach are to detect any conflict types between the messages during message exchange process and to identify the conflict type for each detected conflict. The proposed approach plays as a vital step for improving the semantic interoperability between heterogeneous Web service messages, since it facilitate the process of addressing semantic conflicts. A real scenario was used in order to demonstrate the feasibility of the proposed approach.

Journal of Computer Science
Volume 10 No. 8, 2014, 1428-1439

DOI: https://doi.org/10.3844/jcssp.2014.1428.1439

Submitted On: 30 December 2013 Published On: 22 March 2014

How to Cite: Rahman, W. N. W. A., Atan, R., Ghani, A. A. A. & Al-Baltah, I. A. (2014). SEMANTIC CONFLICTS DETECTION OF HETEROGENEOUS MESSAGES OF WEB SERVICES: CHALLENGES AND SOLUTION. Journal of Computer Science, 10(8), 1428-1439. https://doi.org/10.3844/jcssp.2014.1428.1439

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Keywords

  • Ontology
  • Conflicts Detection
  • Semantic Conflicts
  • Web Services
  • Data Heterogeneity