An User-Friendly and Improved Semantic-Based Web Service Discovery Approach Using Natural Language Processing Techniques
Semantic Web services integrate the meaningful content of the Semantic Web with the business logic of Web services and thus enable industries and individuals to access these services. But as the number of available web services increase, there is a growing demand for a mechanism for effective retrieval of required services. We propose an improved Semantic Web Service Discovery method by combining functional similarity matching (using bipartite graph) and textual similarity matching. The framework searches through a set of annotated Web services for matching user query which can be represented in natural language, so that knowledge about semantic languages is not required by the user. We analyze the complexity of existing algorithms and present performance results, which show that our algorithm gives more flexibility and also performs well with respect to the existing algorithms.
M. Deepa Lakshmi, Dr. Julia Punitha Malar Dhas