Abstract
Web services have become an important enabling paradigm for distributed computing. Some deterrents to the continued popularity of the web service technology currently are the nonavailability of large-scale, semantically enhanced service descriptions and limited use of semantics in service life cycle tasks like discovery, selection, and composition. In this paper, we outline an intelligent semantics-based web service discovery and selection technique that uses interfaces and text description of services to capture their functional semantics. We also propose a service composition mechanism that automatically performs candidate selection using the service functional semantics, when one web service does not suffice. These techniques can aid application designers in the process of service-based application development that uses multiple web services for its intended functionality. We present experimental and theoretical evaluation of the proposed method.
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References
Cuzzocrea, A., Fisichella, M.: Discovering semantic web services via advanced graph-based matching. In: Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on. pp. 608–615. IEEE (2011)
Fethallah, H., Chikh, A.: Automated retrieval of semantic web services: a matching based on conceptual indexation. Int. Arab J. Inf. Technol. 10(1), 61–66 (2013)
Hashemian, S., Mavaddat, F.: A graph-based approach to web services composition. In: Applications and the Internet, 2005. Proceedings. The 2005 Symposium on. pp. 183–189 (Jan 2005)
Jiang, J.J., Conrath, D.W.: Semantic similarity based on corpus statistics and lexical taxonomy. CoRR cmp-lg/9709008 (1997), http://arxiv.org/abs/cmp-lg/9709008
Miller, G.A.: Wordnet: a lexical database for english. Communications of the ACM 38(11), 39–41 (1995)
Oh, S.C., On, B.W., Larson, E., Lee, D.: Bf*: Web services discovery and composition as graph search problem. In: e-Technology, e-Commerce and e-Service, 2005. EEE ’05. Proceedings. The 2005 IEEE International Conference on. pp. 784–786 (March 2005)
Peng, Y., Wu, C.: Automatic semantic web service discovery based on assignment algorithm. In: 2010 2nd International Conference on Computer Engineering and Technology. vol. 6 (2010)
Platzer, C., Dustdar, S.: A vector space search engine for web services. Third European Conference on Web Services (2005)
Sangers, J., Frasincar, F., Hogenboom, F., Chepegin, V.: Semantic web service discovery using natural language processing techniques. Expert Systems with Applications 40(11), 4660–4671 (2013), http://www.sciencedirect.com/science/article/pii/S0957417413001279
Truong, H.L., Dustdar, S.: A survey on context aware web service systems. International Journal of Web Information Systems 5(1), 5–31 (2009)
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Kedia, A., Pandel, A., Mohata, A., Sowmya Kamath, S. (2018). An Intelligent Algorithm for Automatic Candidate Selection for Web Service Composition. In: Sa, P., Sahoo, M., Murugappan, M., Wu, Y., Majhi, B. (eds) Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Advances in Intelligent Systems and Computing, vol 719. Springer, Singapore. https://doi.org/10.1007/978-981-10-3376-6_41
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DOI: https://doi.org/10.1007/978-981-10-3376-6_41
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