Skip to main content
SpringerLink
Log in
Book cover

Intelligent Exploration of the Web

  • Book
  • © 2003

Overview

Editors:
  1. Piotr S. Szczepaniak

    1. Institute of Computer Science, Technical University of Lodz, Lodz, Poland
      Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Javier Segovia

    1. Facultad de Informática, Universidad Politécnica de Madrid, Madrid, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Janusz Kacprzyk

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Lotfi A. Zadeh

    1. Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presentation of computationally intelligent methods for dealing with problems related to Web
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 111)

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

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (24 chapters)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. Creation and Representation of Web Resources

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Structure Analysis and Generation for Internet Documents

      • Kyong Ho Lee, Yoon Chul Choy, Sung-Bae Cho
      Pages 3-18

    3. A Fuzzy System for the Web Page Representation

      • Angela Ribeiro, Víctor Fresno, María C. Garcia-Alegre, Domingo Guinea
      Pages 19-37

    4. Flexible Representation and Retrieval of WEB Documents

      • Gloria Bordogna, Gabriella Pasi
      Pages 38-53

  3. Information Retrieval

    1. Front Matter

      Pages 55-55
      Download chapter PDF

    2. Intelligent Information Retrieval on the Web

      • MieczysÅ‚aw KÅ‚opotek
      Pages 57-73

    3. Internet as a Challenge to Fuzzy Querying

      • Janusz Kacprzyk, SÅ‚awomir Zadrożny
      Pages 74-95

    4. Internet Search Based on Text Intuitionistic Fuzzy Similarity

      • P. S. Szczepaniak, A. Niewiadomski
      Pages 96-102

    5. Content-Based Fuzzy Search in a Multimedia Web Database

      • Marina Teresa Pires Vieira, Mauro Biajiz, Sérgio Ricardo Borges Júnior, Eduardo Cotrin Teixeira, Fernando Genta dos Santos, Josiel Maimoni Figueiredo
      Pages 103-118

    6. Self-Organizing Maps for Interactive Search in Document Databases

      • Andreas Nürnberger, Aljoscha Klose, Rudolf Kruse
      Pages 119-135

    7. Methods for Exploratory Cluster Analysis

      • Samuel Kaski, Janne Nikkilä, Teuvo Kohonen
      Pages 136-151

    8. Textual Information Retrieval with User Profiles Using Fuzzy Clustering and Inferencing

      • Donald H. Kraft, Jianhua Chen, Maria J. Martin-Bautista, Maria-Amparo Vila
      Pages 152-165

    9. Intelligent Clustering as Source of Knowledge for Web Dialogue Manager in a Information Retrieval System

      • Paulo Quaresma, Irene Pimenta Rodrigues
      Pages 166-180

    10. Documents Clustering Using Tolerance Rough Set Model and Its Application to Information Retrieval

      • Tu Bao Ho, Saori Kawasaki, Ngoc Binh Nguyen
      Pages 181-196

    11. Improving Web Search by the Identification of Contextual Information

      • Fernando Aguiar
      Pages 197-224

    12. Intelligent Internet-Based Multiagent Systems

      • Brent Blackstock
      Pages 225-239

    13. Neural Agent for Text Database Discovery

      • Yong S. Choi
      Pages 240-254

    14. Intelligent Web Agents that Learn to Retrieve and Extract Information

      • Tina Eliassi-Rad, Jude Shavlik
      Pages 255-274

    15. Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach

      • Craig A. Knoblock, Kristina Lerman, Steven Minton, Ion Muslea
      Pages 275-287
Back to top

Keywords

About this book

The Web is the nervous system of information society. As such, it has a pervasive influence on our daily lives. And yet, in some ways the Web does not have a high MIQ (Machine IQ). What can be done to enhance it? This is the leitmotif of "Intelligent Exploration of the Web," (lEW)--a collection of articles co-edited by Drs. Szczepaniak, Segovia, Kacprzyk and, to a small degree, myself. The articles that comprise lEW address many basic problems ranging from structure analysis of Internet documents and Web dialogue management to intelligent Web agents for extraction of information, and bootstrapping an ontology-based information extraction system. Among the basic problems, one that stands out in importance is the problem of search. Existing search engines have many remarkable capabilities. But what is not among them is the deduction capability--the capability to answer a query by drawing on information which resides in various parts of the knowledge base. An example of a query might be "How many Ph.D. degrees in computer science were granted by European universities in 1996?" No existing search engine is capable of dealing with queries of comparable or even much lower complexity. Basically, what we would like to do is to add deduction capability to a search engine, with the aim of transforming it into a question-answering system, or a QI A system, for short. This is a problem that is of major importance and a challenge that is hard to meet.

Editors and Affiliations

  • Institute of Computer Science, Technical University of Lodz, Lodz, Poland

    Piotr S. Szczepaniak

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Piotr S. Szczepaniak, Janusz Kacprzyk

  • Facultad de Informática, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Segovia

  • Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, USA

    Lotfi A. Zadeh

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation