Automated Generation of Question Answering System using Semantic Web
Suguna. M1, Priyanga B2, Prakash D.3

1Suguna. M, Assistant Professor-II, Department of CSE, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2Priyanga B, PG Student, Department of CSE, Kumaraguru College of Technology, Coimbatore, (Tamil Nadu), India.
3Prakash D, Research Scholar, Anna University, Chennai (Tamil Nadu), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 24 December 2018 | Manuscript Published on 09 January 2019 | PP: 325-327 | Volume-7 Issue-4S November 2018 | Retrieval Number: E1986017519/19©BEIESP
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Abstract: Question answering system provides answer to user’s question according to the requirement. Question answering used in Information Retrieval processing, Natural Language, Artificial Intelligence (AI), Document Retrieval, Automatic evaluations. In QA system, once the question is posted by the client, the system need to find meaning of the words such as synonyms and provide correct answer to the user. It is very difficult to find answer from large collection of information available in Internet. The process involved in QA is question generation, answer filtering and store in the database. The proposed approach is used to retrieve the answers for the posted query in an efficient manner and reduce time consumption. WAD approach is used to analyze the answer and rank the accuracy of the answer with the existing method.
Keywords: Answer Ranking, Natural Language Processing, Cloud, Named Entity Recognition, Information Retrieval.
Scope of the Article: Web Technologies