Skip to main content

New modeling method for using large knowledge bases

  • 2 Knowledge Modeling
  • Conference paper
  • First Online:
Methodology and Tools in Knowledge-Based Systems (IEA/AIE 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1415))

  • 4414 Accesses

Abstract

The objective of this paper is to discuss some aspects of large scale knowledge bases, especially the ways of building knowledge bases from the view point of using knowledge bases for solving real problems and for assuring knowledge based systems generality. A new modeling scheme for representing problems including strategic decision is discussed as well as a way of generating problem specific problem solving systems. Many multi-level concepts such as a multi-level function structure and its corresponding knowledge structure, multiple meta-level operations, a multi-strata model to represent problems including human activity, etc. It is shown that the system realizes not only the generality but also practicality of problem solving by enabling automatic programming.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. S. Ohsuga, Toward Truly Intelligent Information Systems — From Expert Systems to Automatic Programming, (to appear in knowledge based systems), 1998

    Google Scholar 

  2. S. Ohsuga, Multi-Strata Modeling to Automate Problem Solving Including Human Activity, Proc. European-Japanese Seminar on Information Modeling and Knowledge Bases '96, IO Press 1997

    Google Scholar 

  3. F. H. Ross, Artificial Intelligence-What Works and What Doesn't?, AI Magazine Vol. 18 No.2, 1997

    Google Scholar 

  4. Toppano, E. Chittaro, L. & Tasso, C. Dimensions of Abstraction and Approximation in the Multimodeling Approach, Proc. Fourth European-Japanese Seminar on Information Modeling and Knowledge Bases, 1994

    Google Scholar 

  5. S. Ohsuga and H. Yamauchi, Multi-Layer Logic–A Predicate Logic Including Data Structure As Knowledge Representation Language, New Generation Computing, 1985

    Google Scholar 

  6. H. Yamauchi, S. Ohsuga, KAUS User's Manual Version 6.49, RCAST, University of Tokyo, 1997

    Google Scholar 

  7. T. Aida, Intelligent System Must Be Able To Make Programs Automatically For Assuring The Practicality, Proc. IEA-98-AIE, 1997

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

José Mira Angel Pasqual del Pobil Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag

About this paper

Cite this paper

Ikeda, W., Ohsuga, S. (1998). New modeling method for using large knowledge bases. In: Mira, J., del Pobil, A.P., Ali, M. (eds) Methodology and Tools in Knowledge-Based Systems. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64582-9_740

Download citation

  • DOI: https://doi.org/10.1007/3-540-64582-9_740

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64582-5

  • Online ISBN: 978-3-540-69348-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics