The proposed algorithm expands the meaning of a user�s goal using ontology then derives a group of keywords to discover services and web composition are used to select the web services based on QoS to find the optimality solution of their user goal. The efficiency of the web service matching and composition becomes more important than ever because of the vast number of the web services. For this purpose we propose a web service composition algorithm based on the annotated ontology using semantic matching to achieve exact service for user�s constraint. We design a resource graph to represent the semantic relationship among Web resources. By analyzing the relations among Web resources and using ontologies, A semantic web services would require careful usage combined technologies this semantic web service is realized to show that they ensure interoperability. Four aspects of web services are presented 1) Standard of XML web services 2) Semantic annotation 3) Web service composition 4) Performance Evolution. Our framework can generate ad-hoc processes for composing Web resources. We have built a prototype to demonstrate that the repetitive tasks in the Web resources can be automatically and tracked and the user can change simple Web resources into reusable services by annotating the data with them.

Ontology, Service-oriented architecture, Service composition, Service discovery and Web services

[1]. R. Alarc�n and E. Wilde. �RESTler: Crawling RESTful services.� In Proceedings of the 19th international conference on World Wide Web, WWW `10, pages 1051{1052, New York, NY, USA, 2010. ACM.
[2]. A. Almonaies, J.R. Cordy, T.R. Dean, "Legacy System Evolution towards Service-Oriented Architecture", Proc. International Workshop on SOA Migration and Evolution (SOAME 2010), Madrid, Spain, pp. 53-62.
[3]. A. Alowisheq, D. E. Millard, and T. Tiropanis, �EXPRESS: EXPressing REstful Semantic Services Using Domain Ontologies.� International Semantic Web Conference 2009: 941-948
[4]. M. Athanasopoulos and K. Kontogiannis, �Identification of REST-like Resources from Legacy Service Descriptions, WCRE 2010.
[5]. D. Beckett, B. McBride (editors), �RDF/XML Syntax Specification (Revised),� W3C Recommendation 10 February, 2004
[6]. B. Upadhyaya, F. Khomh. Y. Zou, A. Lau and J. Ng, A Concept Analysis Approach for Guiding Users in Service Discovery, IEEE International Conference on Service-Oriented Computing and Applications (SOCA`12) , Taipei , Taiwan.
[7]. Rajneesh Shrivastava, Shivlal Mewada and Pradeep Sharma, "An Approach to Give First Rank for Website and Webpage Through SEO", International Journal of Computer Sciences and Engineering, Volume-02, Issue-06, pp (13-17), Jun -2014
[8]. M. P. Carlson, A H. H. Ngu, R. M. Podorozhny, L. Zeng, �Automatic Mash Up of Composite Applications,� International Conference on Service Oriented Computing (ICSOC) 2008, Sydney, Australia, December 1-5, 2008, pages: 317-330
[9]. C. Engelke and C. Fitzgerald, �Replacing Legacy Web Services with RESTful Services,� WS-REST 2010 First International Workshop on RESTful Design
[10]. R. Ennals and D. Gay. �Building Mashups by Example�, Proceedings of IUI (2008)
[11]. R. J. Ennals, M. N. Garofalakis, �MashMaker: mashups for the masses,� Proceedings of the 2007 ACM SIGMOD international conference on Management of data, ACM.
[12]. Yahoo Pipes: Rewire the web, http://pipes.yahoo.com/pipes/
[13]. Animesh Shrivastava and Singh Rajawat, "An Implementation of Hybrid Genetic Algorithm for Clustering based Data for Web Recommendation System", International Journal of Computer Sciences and Engineering, Volume-02, Issue-04, Page No (6-11), Apr -2014
[14]. I. Foster, C. Kesselman, J. Nick, S. Tuecke, �The Physiology of the Grid: an Open Grid Services Architecture for Distributed Systems Integration,� Technical report, Global Grid Forum (2002)
[15]. Dublin Core Metadata Initiative, http://dublincore.org/, last accessed on September 9, 2010
[16]. Facebook, http://www.facebook.com/, last time accessed on August 22, 2011
[17]. R. Fielding. �Architectural Styles and The Design of Network-based Software Architectures�. PhD thesis, University of California, Irvine (2000)
[18]. Flickr, http://www.flickr.com/, last time accessed on Aug. 29, 2011
[19]. Gleaning Resource Descriptions from Dialects of Languages (GRDDL), http://www.w3.org/2004/01/rdxh/spec, lat accessed on October 12, 2010
[20]. B. Upadhyaya, R. Tang and Y. Zou. An approach for mining service composition patterns from execution logs. Journal of Software Evolution and Process; DOI: 10.1002/smr.1565, 2011.
[21]. Hassina Nacer, Djamil Aissani, �Review: Semantic web services: Standards, applications, challenges and solutions�, Journal of Network and Computer Applications, Volume 44, September, 2014 , Pages 134-151
[22]. Mallayya, D., Ramachandran, B., Viswanathan, S(2015) �An Automatic Web Service Composition Framework Using QoS-Based Web Service Ranking Algorithm�,The Scientific World Journal, pp.1-14.