A System for Knowledge-Based Information Extraction

  • Frank von Martial
  • Frank Victor
  • Hiroshi Ishii


In this paper, we deal with the problem of gaining insight into the structure of an office knowledge base. In a dynamic environment, like the office, often changes occur which have to be reflected in the knowledge base. Now, two questions arise: What part of the knowledge base is relevant concerning the changes? How can the relevant information be displayed appropriately? Concerning these two questions, we propose a retrieval technique that supports knowledge-based extraction (filtering) and presentation (visualizing) of relevant information.


Knowledge Base Knowledge Engineer Graph Type Office Activity Office Procedure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag/Wien 1990

Authors and Affiliations

  • Frank von Martial
    • 1
  • Frank Victor
    • 1
  • Hiroshi Ishii
    • 2
  1. 1.German National Research Center for Computer Science (GMD)St. Augustin 1West Germany
  2. 2.NTT Human Interface LaboratoriesYokosuka-ShiJapan

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