• DocumentCode
    2347633
  • Title

    Chinese patent retrieval based on the pragmatic information

  • Author

    Wu, Liping ; Liu, Song ; Ren, Fuji

  • Author_Institution
    Dept. of Inf. Sci. & Intell. Syst., Tokushima Univ., Tokushima, Japan
  • fYear
    2010
  • fDate
    21-23 Aug. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we propose a novel information retrieval approach based on the pragmatic information for Chinese patents. At present, patent retrieval is becoming more and more important. Not only because patents are always can an important resource in all kinds of field, but patent retrieval save a great deal of time and funds for corporations and researchers. However, with available methods the precision of retrieval results for patents is not very high. What´s more, through analyzed the patent documentations we found that except the literal meanings, there are deeper meanings which can be concluded from the patents. Here we call the deeper meanings as pragmatic information. Therefore we established a patent retrieval system to integrate the pragmatic information with classical information retrieval technique to improve the retrieval accuracy. Some experiments using the proposed method have carried out, and the results show that the precision of patent retrieval based on the pragmatic information is higher than the one without using it.
  • Keywords
    computational linguistics; document handling; information retrieval; natural language processing; Chinese patent retrieval; information retrieval; patent documentations; pragmatic information; Artificial neural networks; Data mining; Information retrieval; Patents; Pragmatics; Semantics; Syntactics; Patent documents; Patent retrieval; Pragmatic information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6896-6
  • Type

    conf

  • DOI
    10.1109/NLPKE.2010.5587776
  • Filename
    5587776