The week's pick
Random Articles
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.
References
- Cong, Z., Fernandez, A., Billhardt, H., & Lujak, M. (2015). Service discovery acceleration with hierarchical clustering. Information Systems Frontiers, 17(4), 799-808.
- Poblete, B. (2010). Query-based Data Mining for the Web. Universitat Pompeu Fabra.
- Elgazzar, K., Hassan, A. E. & Martin, P. (2010). "Clustering WSDL to Bootstrap Discovery of Web Services." International Conference on Web Services, 147-54. Print.
- Gunay, A., & Yolum, P. (2007). "Structural and Semantic Similarity Metrics for Web Service Matchmaking." E-Commerce and Web Technologies 4655 (2007), 129-38. Print.
- Gao, H., Stucky, W., & Liu, L. (2009, May). Web services classification based on intelligent clustering techniques. In Information Technology and Applications, 2009. IFITA'09. International Forum on (Vol. 3, pp. 242-245). IEEE.
- Platzer, C., Rosenberg, F., & Dustdar, S. (2009). Web service clustering using multidimensional angles as proximity measures. ACM Transactions on Internet Technology (TOIT), 9(3), 11.
- Deng, F. (2012). "Thesis: Web Service Matching based on Semantic Classification." School of Health and Society, Department of Computer Science.
- Miller, G. A. (1995). WordNet: a lexical database for English. Communications of the ACM, 38(11), 39-41.
- Nisa, R., & Qamar, U. (2014). "A text mining based approach for web service classification." Information Systems and e-Business Management. Print.
- Konduri, A. (2008). Clustering of Web Services Based on Semantic Similarity (Doctoral dissertation, University of Akron).
- Meng, L., Huang, R., & Gu, J. (2013). A review of semantic similarity measures in wordnet. International Journal of Hybrid Information Technology, 6(1), 1-12.
- Wang, X., Ding, Y. & Zhao, Y. (2006). "Similarity Measurement about Ontology-based Semantic Web Services." In Proceedings of Workshop on Semantics for Web Services. Print.
- Lei, Y., Wang, Z., Meng, L., & Qiu, X. (2014). Clustering and Recommendation for Semantic Web Service in Time Series. TIIS, 8(8), 2743-7362.
- Cong, Z., & Gil, A. F. (2013). "Efficient Web Service Discovery Using Hierarchical Clustering." Agreement Technologies 8068, 63-74. Print.
- Deng, S., Wu, Z., Wu, J., Li, Y., & Yin, J. (2009). An efficient service discovery method and its application. International Journal of Web Services Research (IJWSR), 6(4), 94-117.
- Chifu, V. R., Pop, C. B., Salomie, I., Dinsoreanu, M., David, T., & Acretoaie, V. (2011). Ant-based Methods for Semantic Web Service Discovery and Composition. Ubiquitous Computing and Communication Journal, 631-641.
Index Terms
Keywords