Semantics-based web service discovery using information retrieval techniques

  • Authors:

  • Jun Hou;Jinglan Zhang;Richi Nayak;Aishwarya Bose

  • Affiliations:

  • Faculty of Science and Technology, Queensland University of Technology;Faculty of Science and Technology, Queensland University of Technology;Faculty of Science and Technology, Queensland University of Technology;Faculty of Science and Technology, Queensland University of Technology

  • Venue:
  • INEX'10 Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval
  • Year:
  • 2010

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Abstract

This paper demonstrates an experimental study that examines the accuracy of various information retrieval techniques for Web service discovery. The main goal of this research is to evaluate algorithms for semantic web service discovery. The evaluation is comprehensively benchmarked using more than 1,700 real-world WSDL documents from INEX 2010 Web Service Discovery Track dataset. For automatic search, we successfully use Latent Semantic Analysis and BM25 to perform Web service discovery. Moreover, we provide linking analysis which automatically links possible atomic Web services to meet the complex requirements of users. Our fusion engine recommends a final result to users. Our experiments show that linking analysis can improve the overall performance of Web service discovery. We also find that keyword-based search can quickly return results but it has limitation of understanding users' goals.