Introduction to Part II: Knowledge Acquisition and Knowledge Representation

  • Paulo Quaresma
  • Akira Ishikawa
  • Rolf Schwitter
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2543)

Abstract

Most human knowledge is not well-structured for formal representation and machine processing. Even worse, some of this knowledge is not easily accessible through experts and it can be distributed in a huge information space such as the World Wide Web. Providing appropriate access to such heterogeneous knowledge sources is important for building knowledge-based information systems. There is an urgent need for complementary tools and techniques that derive formal knowledge structures from informal information so that inferences can be made automatically.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Paulo Quaresma
    • 1
  • Akira Ishikawa
    • 2
  • Rolf Schwitter
    • 3
  1. 1.Universidade de Évora, PortugalPortugal
  2. 2.Sophia UniversityTokyoJapan
  3. 3.Macquarie UniversitySydneyAustralia

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