Automated question answering system using ontology and semantic role

Semantic similarity is an essential part for question answering, it is used various fields such as Artificial Intelligence, Natural Language Processing, information retrieval, Document Retrieval and Automatic evaluations. This paper mainly focuses on similarity measure based on the posted query, and finding the appropriate meaning between the words. Accessing an accurate answer from the web document is challenging task. The proposed approach is used to analyze and measuring the similarity between the words. It presents the Web And semantic knowledge-Driven automatic question answering system (WAD). It encompasses three phases to enhance the performance of QA system using the web as well as the semantic knowledge. Initially, the WAD approach determines the user query, query expansion technique and entity linking method. The ontology based information is used in WAD to rank the answers and experimental results provide the result with high accuracy than the baseline method.