Semantics-based web service discovery using information retrieval techniques
Hou, Jun, Zhang, Jinglan, Nayak, Richi, & Bose, Aishwarya (2011) Semantics-based web service discovery using information retrieval techniques. In Comparative Evaluation of Focused Retrieval. Springer-Verlag Berlin Heidelberg, pp. 336-346.
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.
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|Item Type:||Book Chapter|
|Keywords:||Web service discovery, Semantics, Latent Semantic Analysis, Linking Analysis|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2011 Springer-Verlag Berlin Heidelberg|
|Copyright Statement:||The original publication is available at SpringerLink http://www.springerlink.com|
|Deposited On:||04 Apr 2012 00:23|
|Last Modified:||11 Oct 2015 03:40|
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