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Comparison of Web Service Similarity- Assessment Methods

by J. Uma Maheswari, G. R. Karpagam, S. Indhumathy
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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
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Index Terms

Computer Science
Information Sciences

Keywords

Web Service Semantic matching Structure matching Vector space wordnet

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