• DocumentCode
    2179837
  • Title

    Knowledge-based document analysis

  • Author

    Blasius, K.-H. ; Grawemeyer, Beate ; John, Isabel ; Kuhn, Norbert

  • Author_Institution
    Fachhereich Angewandte Inf., Fachhochschule Trier, Germany
  • Volume
    2
  • fYear
    1997
  • fDate
    18-20 Aug 1997
  • Firstpage
    728
  • Abstract
    The performance of document analysis systems significantly depends on knowledge about the application domain that can be exploited in the analysis process. Typically one has to deal with different sources of knowledge like syntactic knowledge, semantic knowledge or strategic knowledge guiding the analysis process. We present a knowledge based document analysis system based on tasks. It allows to model and to interpret structural knowledge about documents and knowledge about the analysis process declaratively in a common framework
  • Keywords
    information retrieval; knowledge based systems; knowledge representation; application domain; knowledge representation language; knowledge-based document analysis; performance; semantic knowledge; strategic knowledge; syntactic knowledge; Concrete; Databases; Information analysis; Knowledge representation; Logic; Markup languages; Office automation; SGML; Technological innovation; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-8186-7898-4
  • Type

    conf

  • DOI
    10.1109/ICDAR.1997.620604
  • Filename
    620604