Skip to main content
SpringerLink
Log in
Book cover

International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2004: Knowledge-Based Intelligent Information and Engineering Systems pp 1–5Cite as

Web Intelligence, World Knowledge and Fuzzy Logic – The Concept of Web IQ (WIQ)

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3213))

Abstract

Given the ambiguity and imprecision of the “concept” in the Internet, which may be described with both textual and image information, the use of Fuzzy Conceptual Matching (FCM) is a necessity for search engines. In the FCM approach, the “concept” is defined by a series of keywords with different weights depending on the importance of each keyword. Ambiguity in concepts can be defined by a set of imprecise concepts. Each imprecise concept, in fact, can be defined by a set of fuzzy concepts. The fuzzy concepts can then be related to a set of imprecise words given the context. Imprecise words can then be translated into precise words given the ontology and ambiguity resolution through a clarification dialog. By constructing the ontology and fine-tuning the strength of links (weights), we could construct a fuzzy set to integrate piecewise the imprecise concepts and precise words to define the ambiguous concept.

This is a preview of subscription content, 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Nikravesh, M., Azvine, B.: FLINT 2001. New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28 (August, 2001)

    Google Scholar 

  2. Vincenzo, L., Nikravesh, M., Zadeh, L.: Journal of Soft Computing, Special Issue: Fuzzy Logic and the Internet (to appear, 2004)

    Google Scholar 

  3. Nikravesh, M.: Fuzzy Logic and Internet: Perception Based Information Processing and Retrieval, Berkeley Initiative in Soft Computing, Report No. 2001-2-SI-BT (September, 2001)

    Google Scholar 

  4. Nikravesh, M.: BISC and The New Millennium. Perception-based Information Processing, Berkeley Initiative in Soft Computing, Report No. 2001-1-SI (September 2001)

    Google Scholar 

  5. Nikravesh, M., Zadeh, L.A.: Perception Based Information Processing and Retrieval Application to User Profiling. Berkeley-BT project (2000-2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Professor in the Graduate School, Computer Science Division, Department of Electrical Engineering and Computer Sciences, Director, Berkeley Initiative in Soft Computing (BISC), University of California, Berkeley, California, USA

    Lotfi A. Zadeh

Authors
  1. Lotfi A. Zadeh
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zadeh, L.A. (2004). Web Intelligence, World Knowledge and Fuzzy Logic – The Concept of Web IQ (WIQ). In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30132-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation