Skip to main content
SpringerLink
Log in

Intelligent Knowledge Capsule Design for Associative Priming Knowledge Extraction

  • Conference paper
Fuzzy Logic and Applications (WILF 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3849))

Included in the following conference series:

  • 842 Accesses

Abstract

Intelligent Knowledge Capsule was designed for the functions of knowledge acquisition,Memory retention and Knowledgeretrieval. Specially in this paper, focusing on Knowledge Retrieval process Associative Priming Knowledge Extraction mechanism is designed. A hierarchical associative memory including long term memory, short term memory and synonym net for keyword is established and using this structure Associative Priming Knowledge Extraction mechanism is processed. We apply this mechanism to virtual memory and test the retrieving process.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Shim, J.-Y.: Knowledge Retrieval Using Bayesian Associative Relation in the Three Dimensional Modular System. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds.) APWeb 2004. LNCS, vol. 3007, pp. 630–635. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  2. Anderson, J.R.: Learning and Memory. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  3. Fausett, L.: Fundamentals of Neural Networks. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  4. Haykin, S.: Neural Networks. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  5. Shim, J.-Y., Hwang, C.-S.: Data Extraction from Associative Matrix based on Selective learning system. In: IJCNN 1999, Washongton D.C (1999)

    Google Scholar 

  6. Anderson, J.R.: Learning and Memory. Prentice-Hall, Englewood Cliffs

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Division of General Studies, Computer Science, Kangnam University, San 6-2, Kugal-ri, Kihung-up,YongIn Si, KyeongKi Do, Korea

    JeongYon Shim

Authors
  1. JeongYon Shim
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Dept. TSI, CNRS UMR 5141 LTCI, ENST (Télécom ParisTech), Paris, France

    Isabelle Bloch

  2. Centro Direzionale, DSA, University of Naples, Parthenope, Isola C/4, 80143, Naples, Italy

    Alfredo Petrosino

  3. Dipartimento di Tecnologie dell’Informazione, Università di Milano Crema,  

    Andrea G. B. Tettamanzi

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shim, J. (2006). Intelligent Knowledge Capsule Design for Associative Priming Knowledge Extraction. In: Bloch, I., Petrosino, A., Tettamanzi, A.G.B. (eds) Fuzzy Logic and Applications. WILF 2005. Lecture Notes in Computer Science(), vol 3849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11676935_47

Download citation

  • DOI: https://doi.org/10.1007/11676935_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32529-1

  • Online ISBN: 978-3-540-32530-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation