Natural Language Processing And Clustering Based Service Discovery
Keywords:Web service discovery, Semantics, OWL-S,WSDL, ontology.
ABSTRACT: Web service used in Service Oriented Architecture creates a wide network of services that work together in order to execute complex task. Web services are defined throughweb pages having data and details only in natural languages it cannot use by computer to automatically process the information. To support automation of web service discovery there are many semantic based languages used for describing the process of the whole web service for the particular domain. The semantic web service description use ontologies to describe the performance of a web service. Natural Language techniques can help in better defining the background of a web services. This project Develop a Semantic web service discovery framework for finding semantic web services by making use of natural language processing techniques and clustering method. By make use of clusterTerms we can improve the optimization and eliminating irrelevant services and gives accurate service discovery.
 Jordy Sangers, Flavius Frasincar, Frederik Hogenboom,Vadim Chepegin, Semantic Web service discovery using natural language processing techniques, Expert Systems with Applications 40(2013) 4660–4671.
 Bener, A.B, Ozadali, V., & Ilhan, E. S. (2009). Semantic matchmaker with precondition and effect matching using SWRL. Expert Systems with Applications, 36(5), 9371–9377.
 Dietze,S., Gugliotta, A.,& Domingue, J.(2009). Exploiting metrics for similarity- based semantic Web service discovery. In IEEE seventh international conference on Web services(ICWS2009)(pp.327–334). IEEE Computer Society.
 Navigli,R.,& Velardi,P.(2005).Structural semantic interconnections: A knowledge- based approach to word sense disambiguation. IEEE transactions on pattern analysis and machine
 intelligence(Vol. 27,pp.1075–1086). IEEE Computer Society.
 Dr.Yongju Lee (2013).Semantic Matching and Resource DiscoveryAlgorithms for RESTful Web Services. International Journal of Innovative Research in Computer and Communication Engineering(Vol. 1, Issue 9),2320-9801.
 D. Roman, U. Keller, H. Lausen, J. de Bruijn, R. Lara, M. Stollberg, A. Polleres, C. Feier, C. Bussler, D. Fensel, Web service modeling ontology, Applied Ontology 1 (1) (2005) 77–106.
 I. Toma, D. Foxvog, M.C. Jaeger, Modeling QoS characteristics in WSMO, in: The Proceedings of the 1st Workshop on Middleware for Service Oriented Computing, MW4SOC’06, ACM, New York, NY, USA, 2006, pp. 42–47.
 Papazoglou M.P, Georgakopoulos D, (2003), “Service oriented computing”, Proc. Communications of the ACM 46 (10), pp. 25–28.
 Shi Zhong-Zhi, JIANG Yun-Cheng, ZHANG Hai-Jun, DONG Ming-Kai, (2004), “Agent service matchmaking based on description logic”, Proc. Chinese Journal of Computers 27 (5), pp. 625–635.
 Yoo Donghee, (2012), “Hybrid query processing for personalized information retrieval on the Semantic Web”, Proc. Knowledge-Based Systems 27, pp. 211–218.
 Ying-Long Ma, Bei-Hong Jin, Yu-Lin Feng, (2005), “Dynamic discovery for semantic web services based on evolving distributed ontologies”, Proc. Chinese Journal of Computers 28 (4), pp. 603–614.
 Zhou C, Chia L.T, Lee B.S, (2005), “Service discovery and measurement based on DAML-QoS ontology”, Proc. International World Wide Web Conference, pp. 1070–1071.