Research Article Open Access

USER-CENTRIC DESIGN FOR SEMANTIC DISCOVERY OF MATHEMATICAL WEB SERVICES

Adlin Sheeba1, A. Chandrasekar2 and V. Shanthi3
  • 1 Manonmaniam Sundaranar University, Tirunelveli, India and Department of Computer Applications, St. Joseph’s College of Engineering, Chennai, India
  • 2 Department of Computer Science and Engineering, India
  • 3 Department of Computer Applications, St. Joseph’s College of Engineering, Chennai, India

Abstract

Adopting an efficient and effective method to locate and select desired services among thousands of available web services is an important task in the service-oriented computing environment. If the services are registered properly, then it will be easy for the service requesters to discover the Web services. Here, we provide Web Service Registration Interface for the service providers along with an ontology tree to register the functional and non-functional properties of the mathematical Web services under a particular domain. The registration details are stored in an XML file and a sorted file. A user-centric client interface is also provided for the service requesters to search the Web services based on user’s preference. Finally, a Quality of Service based ranking algorithm is provided to rank the Web services and top-k Web services are returned. With the experimental evaluation, our approach not only alleviates the requesters from time consuming discovery tasks but also reduce the search space for discovery processes in the user-centric Web environment.

American Journal of Applied Sciences
Volume 11 No. 4, 2014, 639-647

DOI: https://doi.org/10.3844/ajassp.2014.639.647

Submitted On: 30 November 2013 Published On: 8 February 2014

How to Cite: Sheeba, A., Chandrasekar, A. & Shanthi, V. (2014). USER-CENTRIC DESIGN FOR SEMANTIC DISCOVERY OF MATHEMATICAL WEB SERVICES. American Journal of Applied Sciences, 11(4), 639-647. https://doi.org/10.3844/ajassp.2014.639.647

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Keywords

  • Mathematical Web Services
  • Web Services Discovery
  • Quality of Service
  • Ontology Tree
  • Semantic Discovery