SeWS: A semantic framework for web services management

With increasing popularity and demand for Web Services, there have been various research efforts tackling Web Service discovery and composition problems. The Web Service standards and technologies have enhanced the interoperability of Web Services, but not at the semantic level. One of the major problems in achieving semantic interoperability is the inability of the existing solutions to analyze the functionalities and identify the relationships among Web Services. In this thesis, we explore challenges impacting the semantic interoperability and propose a semantic framework, called SeWS that manages Web Services with the help of domain ontologies. The SeWS framework provides support for functional and dependency clustering of Web Services. In this thesis, we also propose efficient data structures and algorithms that handle dynamic retrieval and update of Web Services. We experimentally evaluate the framework using both random and real datasets.