• DocumentCode
    604962
  • Title

    Enhancing the relevance of information retrieval by querying the database in natural form

  • Author

    Shingala, A. ; Virparia, P.

  • Author_Institution
    Dept. of MCA, SVIT, Vasad, India
  • fYear
    2013
  • fDate
    1-2 March 2013
  • Firstpage
    408
  • Lastpage
    412
  • Abstract
    Effectiveness of Information Retrieval from Structured Database through Natural Language provides high utility value and ease of use. The challenge in Information Retrieval is to derive the users intended from limited number of query words (sometimes just one word) to extract the relevant information from structured database. It calls for correct interpretation, disambiguation and context resolution in natural language query processing. These difficulties can be reduced by limiting the domain of applications. In this paper we present our work in designing and developing Student Interface System by querying user in Natural Language (English). Our model consists of (i) semantically parsed the user inputted sentence (ii) transforming it into intermediate query form and finally (iii) convert it into structured query language. The system is developed in JAVA using JDBC for Student Information System. The same approach and methodology can be used in developing queries using vernacular languages.
  • Keywords
    Java; SQL; computer aided instruction; grammars; natural language interfaces; natural language processing; programming language semantics; query processing; word processing; English; JAVA; JDBC; database querying; information retrieval; intermediate query; natural language query processing; query word; relevant information extraction; semantically user inputted sentence parsing; structured database; structured query language; student information system; student interface system; user querying; vernacular language; Database languages; Databases; Information retrieval; Intelligent systems; Moon; Natural languages; Semantics; Information Retrieval; Intelligent Database Systems; Natural Language Interface; Structured Query Language (SQL);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Signal Processing (ISSP), 2013 International Conference on
  • Conference_Location
    Gujarat
  • Print_ISBN
    978-1-4799-0316-0
  • Type

    conf

  • DOI
    10.1109/ISSP.2013.6526944
  • Filename
    6526944