IDEAS home Printed from https://ideas.repec.org/a/igg/jirr00/v9y2019i1p88-106.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJIRR.2019010106
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jirr00:v:9:y:2019:i:1:p:88-106. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.