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Reseach Article

Similarity Analysis and Clustering for Web Services Discovery: A Review

by Abdelmoniem Helmy, Akram I. Salah, Mervat H. Geith
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 3
Year of Publication: 2016
Authors: Abdelmoniem Helmy, Akram I. Salah, Mervat H. Geith
10.5120/ijca2016911830

Abdelmoniem Helmy, Akram I. Salah, Mervat H. Geith . Similarity Analysis and Clustering for Web Services Discovery: A Review. International Journal of Computer Applications. 152, 3 ( Oct 2016), 34-38. DOI=10.5120/ijca2016911830

@article{ 10.5120/ijca2016911830,
author = { Abdelmoniem Helmy, Akram I. Salah, Mervat H. Geith },
title = { Similarity Analysis and Clustering for Web Services Discovery: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 3 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 34-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume152/number3/26303-2016911830/ },
doi = { 10.5120/ijca2016911830 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:57:13.345198+05:30
%A Abdelmoniem Helmy
%A Akram I. Salah
%A Mervat H. Geith
%T Similarity Analysis and Clustering for Web Services Discovery: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 3
%P 34-38
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web service discovery is becoming difficult task because of increasing Web services available on the Internet. As seeking for efficient web service discovery is main challenge for researchers, research in cluster analysis of web services has recently gained much attention due to the popularity of web services and the potential benefits that can be achieved from cluster analysis of web services like reducing the search space of a service search task. In this paper the authors will provide a review for different similarity analysis approaches used for clustering web services into similar groups for benefit of service discovery.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web Services Services Similarity Analysis Web Services Clustering Service Discovery.