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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Quaresma, P., Ishikawa, A., Schwitter, R. (2003). Introduction to Part II: Knowledge Acquisition and Knowledge Representation. In: Bartenstein, O., Geske, U., Hannebauer, M., Yoshie, O. (eds) Web Knowledge Management and Decision Support. INAP 2001. Lecture Notes in Computer Science(), vol 2543. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36524-9_6
Download citation
DOI: https://doi.org/10.1007/3-540-36524-9_6
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00680-0
Online ISBN: 978-3-540-36524-2
eBook Packages: Springer Book Archive