The week's pick
Reseach Article
Similarity Analysis and Clustering for Web Services Discovery: A Review
| 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
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.
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