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SWFQA Semantic Web Based Framework for Question Answering

Author

Listed:
  • Irphan Ali

    (Uttarakhand Technical University, Dehradun, India)

  • Divakar Yadav

    (Madan Mohan Malviya University of Technology, Gorakhpur, India)

  • Ashok Kumar Sharma

    (BSA Institute of Technology and Management, Faridabad, India)

Abstract

A question answering system aims to provide the correct and quick answer to users' query from a knowledge base. Due to the growth of digital information on the web, information retrieval system is the need of the day. Most recent question answering systems consult knowledge bases to answer a question, after parsing and transforming natural language queries to knowledge base-executable forms. In this article, the authors propose a semantic web-based approach for question answering system that uses natural language processing for analysis and understanding the user query. It employs a “Total Answer Relevance Score” to find the relevance of each answer returned by the system. The results obtained thereof are quite promising. The real-time performance of the system has been evaluated on the answers, extracted from the knowledge base.

Suggested Citation

  • Irphan Ali & Divakar Yadav & Ashok Kumar Sharma, 2019. "SWFQA Semantic Web Based Framework for Question Answering," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 9(1), pages 88-106, January.
  • Handle: RePEc:igg:jirr00:v:9:y:2019:i:1:p:88-106
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