• DocumentCode
    553190
  • Title

    A method for automatic recognition of typhoon disaster information based on classification rule

  • Author

    Feng Xu ; Aizhu Ren

  • Author_Institution
    Dept. of Civil Eng., Tsinghua Univ., Beijing, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    1888
  • Lastpage
    1891
  • Abstract
    Information recognition from Chinese documents is an important task of typhoon disaster database foundation. Disaster metadata has the Place-Event structure, which has diversity in itself. Meanwhile, in the system of paragraphs and sentences of information sources, this structure also reflects the high clustering, as well as a degree of granularity. According to these characteristics, this article constructs a rule base correspondingly on the Event classification, then, it rewrites a regular expression matching procedure to extract the disaster information in the Event. It also establishes a place name database for Place recognition, but in this part it utilizes the hierarchy feature of place. Evaluation on test shows a reliable recall and precision rates of the technology.
  • Keywords
    disasters; geographic information systems; meta data; pattern classification; pattern clustering; storms; text analysis; Chinese documents; automatic recognition; classification rule; clustering; disaster metadata; information recognition; information sources; place recognition; place-event structure; regular expression matching procedure; typhoon disaster database foundation; Computers; Data mining; Databases; Educational institutions; Feature extraction; Object recognition; Typhoons; Chinese information recognition; disaster database; regular expression; typhoon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019849
  • Filename
    6019849