[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

Information Granules for Intelligent Knowledge Structures

  • Conference paper
  • First Online:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2639))

Abstract

The premise of this paper is that the acquisition, aggregation, merging and use of information requires some new ideas, tools and techniques which can simplify the construction, analysis and use of what we call ephemeral knowledge structures. Ephemeral knowledge structures are used and constructed by granular agents. Each agent contains its own granular information structure and granular information structures of agents can be combined together. The main concept considered in this paper is an information granule. An information granule is a concise conceptual unit that can be integrated into a larger information infrastructure consisting of other information granules and dependencies between them. The novelty of this paper is that it provides a concise and formal definition of a particular view of information granule and its associated operators, as required in advanced knowledge representation applications.

Supported in part by the WITAS project grant under the Wallenberg Foundation, Sweden and KBN grant 8 T11C 009 19.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 71.50
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 89.99
Price includes VAT (United Kingdom)
  • 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. Abiteboul, R. Hull, and V. Vianu. Foundations of Databases. Addison-Wesley Pub. Co., 1996.

    Google Scholar 

  2. P. Doherty, W. Łukaszewicz, A. Skowron, and A. Szałas. Combining rough and crisp knowledge in deductive databases. In [6], 2003.

    Google Scholar 

  3. P. Doherty, W. Łukaszewicz, and A Szałas. Cake: A computer-aided knowledge engineering technique. In F. van Harmelen, editor, Proc. 15th European Conference on Artificial Intelligence, ECAI’2002, pages 220–224, Amsterdam, 2002. IOS Press.

    Google Scholar 

  4. T.Y. Lin. Granular computing on binary relations i, ii. In [7], pages 107–140, 1998.

    Google Scholar 

  5. H.S. Nguyen, A. Skowron, and J. Stepaniuk. Granular computing: A rough set approach. Computational Intelligence, 17:514–544, 2001.

    Article  MathSciNet  Google Scholar 

  6. S.K. Pal, L. Polkowski, and A. Skowron, editors. Rough-Neuro Computing: Techniques for Computing with Words. Springer-Verlag, Heidelberg, 2003.

    Google Scholar 

  7. L. Polkowski and A. Skowron, editors. Rough Sets in Knowledge Discovery 1: Methodology and Applications, volume 17 of Studies in Fuzziness and Soft Computing. Physica-Verlag, Heidelberg, 1998.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Linköping, Sweden

    Patrick Doherty, Witold Łukaszewicz & Andrzej Szałas

  2. The College of Economics and Computer Science, Olsztyn, Poland

    Witold Łukaszewicz & Andrzej Szałas

Authors
  1. Patrick Doherty
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Witold Łukaszewicz
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Andrzej Szałas
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China

    Guoyin Wang

  2. Department of Computer Science, Nanchang University, Nanchang, 330029, P.R. China

    Qing Liu

  3. Department of Computer Science, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada

    Yiyu Yao

  4. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Doherty, P., Łukaszewicz, W., Szałas, A. (2003). Information Granules for Intelligent Knowledge Structures. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_68

Download citation

  • DOI: https://doi.org/10.1007/3-540-39205-X_68

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-14040-5

  • Online ISBN: 978-3-540-39205-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation