• DocumentCode
    3310463
  • Title

    Document Retrieval Based on Key Information of Sentence

  • Author

    Gautam, Dipesh ; Cho, Miyoung ; Kim, Pankoo

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Chosun Univ., Gwangju
  • Volume
    3
  • fYear
    2008
  • fDate
    17-20 Feb. 2008
  • Firstpage
    2040
  • Lastpage
    2042
  • Abstract
    Most of the document retrieval systems are limited to the query processing based on keywords. Some question answering systems are more efficient in understanding the natural language questions and responding on it. The major deficiency in such systems is that these systems do not take into account the semantic relation between the nouns and verbs. In this paper we used the relation between the nouns and the verbs in a sentence. The subject verb and object of a sentence are identified as the key information in the processing phase. For the purpose we used the natural language processing method to parse and extract key information from sentences in the document. We then perform semantically related keyword search in the extracted key information to retrieve the document.
  • Keywords
    query processing; document retrieval; key information extraction; keyword search; natural language questions; query processing; question answering systems; semantic relation; sentence key information; Books; Computer science; Data mining; Information retrieval; Keyword search; Natural language processing; Natural languages; Query processing; Tagging; Taxonomy; Parsing; key information; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2008. ICACT 2008. 10th International Conference on
  • Conference_Location
    Gangwon-Do
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-136-3
  • Type

    conf

  • DOI
    10.1109/ICACT.2008.4494188
  • Filename
    4494188