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Similarity Analysis and Clustering for Web Services Discovery: A Review

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

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

@article{10.5120/ijca2016911830,
	author = {Abdelmoniem Helmy and Akram I. Salah and Mervat H. Geith},
	title = {Similarity Analysis and Clustering for Web Services Discovery: A Review},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2016},
	volume = {152},
	number = {3},
	month = {Oct},
	year = {2016},
	issn = {0975-8887},
	pages = {34-38},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume152/number3/26303-2016911830},
	doi = {10.5120/ijca2016911830},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, 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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Keywords

Web Services, Services Similarity Analysis, Web Services Clustering, Service Discovery.