Web Services discovery is the most important task in the Web Services model to get thebest benefit out of this technology. Researchers have developed keyword based UDDIdiscovery systems to provide similar Web Service against Web Service providers. But searchstrategy relying on keyword match makes it difficult for people to get useful information andcreates problem of incomplete and incorrect search results. A feasible method to improve theWeb 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 request and result represent 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 bycomputer automatically so finally the goal of semantic search on Web can be achieved. Therehas been some Semantic Web Service framework proposed but very little research were doneto face the challenge of discovering Web Service in multiple ontological environment whichis more likely to be faced in the world of Semantic Web Services as different culture, businessand 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 (Oundhakars) 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 presentedin this thesis and future work is also outlined for interested researchers.