Web Services Discovery Framework using Classification and Semantic Similarity

Kailash Bhardwaj, R. K. Sharma


One of the key components in service–oriented architecture (SOA) is selection of correct kind of web service for a user. Selection process is posing a challenge to users as number of web services are increasing day by day. In this paper, we propose a framework to address the challenge of web service discovery and help the user in finding the most suitable web service according to their needs. The proposed framework uses hybrid approach of classification and WordNet based semantic similarity for finding the similarity between the words of user query and web service description. Experimental results show that the proposed approach provides results that have significant correlation with the human interpretation.


Data processing; machine learning; semantic similarity; natural language processing

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