Exploring the Web and Semantic Knowledge-Driven Automatic Question Answering System

  • Authors

    • S Jayalakshmi
    • Ananthi Sheshaayee
    2018-07-04
    https://doi.org/10.14419/ijet.v7i3.6.16007
  • Semantic, syntactic, question answering, ontology, entity linking, conditional probability.

  • Abstract

    The growth of information retrieval from the web sources are increased day by day, proving an effective and efficient way to the user for retrieving relevant documents from the web is an art. Asking the right question and retrieving a right answer to the posted query is a service which provide by the Natural Language Processing. Question Answering System is one of the best ways to identify the candidate answer with high accuracy. The web and Semantic Knowledge Driven Question Answering System (QAS) used to determine the candidate answer for the posted query in the NLP tools.  This method includes Query expansion techniques and entity linking method to identify the information source snippets with ontology structure, also ranking the sentences by applying conditional probability between query and Answer to identify the optimal answer from the web corpus. The result provides an exact answer with high accuracy than the baseline method.

     

     

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  • How to Cite

    Jayalakshmi, S., & Sheshaayee, A. (2018). Exploring the Web and Semantic Knowledge-Driven Automatic Question Answering System. International Journal of Engineering & Technology, 7(3.6), 379-381. https://doi.org/10.14419/ijet.v7i3.6.16007

    Received date: 2018-07-22

    Accepted date: 2018-07-22

    Published date: 2018-07-04