• DocumentCode
    2919591
  • Title

    Text Extraction of Spatial and Temporal Information

  • Author

    Badia, Antonio ; Ravishankar, Jothi ; Muezzinoglu, Tulay

  • Author_Institution
    Louisville Univ., Louisville
  • fYear
    2007
  • fDate
    23-24 May 2007
  • Firstpage
    381
  • Lastpage
    381
  • Abstract
    Natural language analysis tools are very important for Intelligence tasks, since a considerable amount of information is available in documents of various types. The recent increase on use of open source (OSINT) has made documents even more abundant. Intelligence analysts require tools to help inspect, classify and analyze all this raw data. Situating documents (that is, finding their temporal and spatial coordinates) is vital to put events in the proper geo-strategical context; this in turn is an important part of the complex task of interpreting such events. Such information can help analysts relate events. In our project, we analyze documents at the sentence level. Each sentence is translated to a recursive structure anchored by a triple subject-action-object.
  • Keywords
    information retrieval; natural languages; text analysis; document analysis; geo-strategical context; natural language analysis tools; sentence translation; spatial-temporal reasoning; text extraction; triple subject-action-object; Calendars; Cities and towns; Computer science; Data mining; Humans; Information analysis; Joining processes; Natural languages; Radio access networks; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics, 2007 IEEE
  • Conference_Location
    New Brunswick, NJ
  • Electronic_ISBN
    1-4244-1329-X
  • Type

    conf

  • DOI
    10.1109/ISI.2007.379527
  • Filename
    4258741