Title of Thesis: Information Retrieval and Semantic Structure Matching for Assessing Web-service Similarity Information Retrieval and Semantic Structure Matching for Assessing Web- Service Similarity Semantic Structure Matching for Assessing Web-service Similarity Submitted By

The plethora of web services available on the World Wide Web presents a great opportunity to users. It also gives rises to a great challenge: to enable discovery, reuse and interoperation of web services and software components on the web. To support programmatic service discovery, we have developed a suite of methods that utilize both the semantics of natural language descriptions and identifiers in WSDL (Web Service Description Language) descriptions and the structures of their operations, messages and types to assess the similarity of two WSDL services. These service discovery methods that combine semantic and structure similarity assessments enable a substantially more precise service-discovery process.