Multi-ontology Concept Matching Algorithm To Discover Semantic Web Service

Web Services discovery is the most important task in the Web Services model to get the best benefit out of this technology.Researchers have developed keyword based UDDI discovery systems to provide similar Web Service against Web Service providers.But search strategy relying on keyword match makes it difficult for people to get useful information and creates problem of incomplete and incorrect search results.A feasible method to improve the Web Service discovery technology is to add Semantic Annotation to Web Service.The ratio of precision and recall is greatly improved by adding semantic tags to Web Service.The function of analysis and understanding is imparted to the retrieval system.As the natural language can be parsed easily by computer,the disposal about search request and result represents the character of intelligent,so the web can completes the task automatically to a great extent.WSDL-S can be derived by annotating existing WSDL document and can be disposed by computer automatically so finally the goal of semantic search on Web can be achieved.There has been some Semantic Web Service framework proposed but very little research were done to face the challenge of discovering Web Service in multiple ontological environment which is more likely to be faced in the world of Semantic Web Services as different culture,business and individual may have their own understanding of ontological concept of anything.This paper discusses the multiple ontological concepts and how to measure similarity between them.This paper highlights the improvement on existing,proposed multi-ontology discovery solution(Oundhakar's) to eliminate mismatches and to increase accuracy by using syntactic, properties,domain,measuring sub-concept or super-concept and neighborhood similarity matching between two ontologies.A comparison of the improved match methods is presented in this thesis and future work is also outlined for interested researchers.