CFP last date
20 June 2024
Reseach Article

Comparison of Web Service Similarity- Assessment Methods

by J. Uma Maheswari, G. R. Karpagam, S. Indhumathy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 22
Year of Publication: 2014
Authors: J. Uma Maheswari, G. R. Karpagam, S. Indhumathy
10.5120/17315-7630

J. Uma Maheswari, G. R. Karpagam, S. Indhumathy . Comparison of Web Service Similarity- Assessment Methods. International Journal of Computer Applications. 98, 22 ( July 2014), 18-23. DOI=10.5120/17315-7630

@article{ 10.5120/17315-7630,
author = { J. Uma Maheswari, G. R. Karpagam, S. Indhumathy },
title = { Comparison of Web Service Similarity- Assessment Methods },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 22 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number22/17315-7630/ },
doi = { 10.5120/17315-7630 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:26:52.939893+05:30
%A J. Uma Maheswari
%A G. R. Karpagam
%A S. Indhumathy
%T Comparison of Web Service Similarity- Assessment Methods
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 22
%P 18-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Due to the advent of service oriented architecture, web services have gained popularity. The need for efficient web service discovery increases because of the enormous growth of the web services. The main concern of this paper is to addresses the challenge of automated web service discovery and service similarity assessment. It utilizes the WordNet and a traditional information retrieval method, combined with structure matching to identify potentially useful services and estimating their relevance. The objective of this paper is to find the best suitable web service assessment method by comparing the three web service similarity assessment methods namely WordNet-powered vector space model, Structure matching and Semantic structure matching.

References
  1. D. Booth, M. Champion, C. Ferris, F. McCabe, E. Newcomer, and D. Orchard. "W3C Web Service Architecture". http://www. w3. org/TR/ws-arch/
  2. XML Introduction - What is XML? - W3Schools: http://www. w3schools. com/xml/xml_whatis. asp
  3. Simple Object Access Protocol (SOAP) http://www. w3. org/TR/2003/REC-soap12-part0-20030624
  4. Universal Description Discovery and Integration (UDDI). http://uddi. org/.
  5. Web Services Description Language (WSDL: http://www. w3. org/TR/wsdl)
  6. J. Purtilo and J. M. Atlee. "Module Reuse by Interface Adaptation". Software Practice and Experience, Vol. 21, No. 6, 1991, 539-556.
  7. M. Zaremski and J. M. Wing. "Signature Matching: a Tool for Using Software Libraries". ACM Transactions on Software Engineering and Methodology, Vol. 4 No. 2, 146-170, Apr. 1995.
  8. M. Zaremski and J. M. Wing. "Specifications Matching of Software Components". ACM Transactions on Software Engineering and Methodology, Vol. 6, No. 4, 333- 369, Oct. 1997.
  9. Faloutsos,D. W. Oard. "survey of Information Retrieval and Filtering Methods", University of Maryland. Technical Report CS-TR-3514, August 1995.
  10. Wang and Eleni Stroulia Yiqiao "Semantic Structure Matching for Assessing Web-Service Similarity", Computer Science Department, University of Alberta, Edmonton, AB, T6G 2E8, Canada {yiqiao,stroulia}@cs. ualberta. ca.
  11. Noraida Haji Ali , Noor Syakirah Ibrahim, Porter Stemming Algorithm for Semantic Checking, ICCIT 2012.
  12. Yiqiao Wang, "Information Retrieval and Semantic Structure Matching for Assessing Web-Service Similarity", Thesis, Master of science 2003.
  13. Manish Sharma, Rahul Patel, "A Survey on Information Retrieval Models, Techniques And Applications", International Journal of Emerging Technology and Advanced Engineering ,ISSN 2250-2459, Volume 3, Issue 11, November 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Web Service Semantic matching Structure matching Vector space wordnet