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Knowledge-Based Information Retrieval and Filtering from the Web

  • Witold Abramowicz

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Foundations of Information Retrieval and Information Filtering

    1. Jakub Piskorski
      Pages 23-52
    2. David A. Garza-Salazar, Juan C. Lavariega, Martha Sordia-Salinas
      Pages 53-73
  3. Web based Information Retrieval

    1. Marie-Francine Moens, Roxana Angheluta, Rik De Busser
      Pages 101-120
    2. Czesław Daniłowicz, Huy Cuong Nguyen, Ngoc Thanh Nguyen
      Pages 121-136
    3. Feiyu Xu
      Pages 165-184
  4. Clustering

  5. Other Issues

  6. Back Matter
    Pages 301-303

About this book

Introduction

Knowledge-Based Information Retrieval and Filtering from the Web contains fifteen chapters, contributed by leading international researchers, addressing the matter of information retrieval, filtering and management of the information on the Internet. The research presented deals with the need to find proper solutions for the description of the information found on the Internet, the description of the information consumers need, the algorithms for retrieving documents (and indirectly, the information embedded in them), and the presentation of the information found. The chapters include:
-Ontological representation of knowledge on the WWW;
-Information extraction;
-Information retrieval and administration of distributed documents;
-Hard and soft modeling based knowledge capture;
-Summarization of texts found on the WWW;
-User profiles and personalization for web-based information retrieval system;
-Information retrieval under constricted bandwidth;
-Multilingual WWW;
-Generic hierarchical classification using the single-link clustering;
-Clustering of documents on the basis of text fuzzy similarity;
-Intelligent agents for document categorization and adaptive filtering;
-Multimedia retrieval and data mining for E-commerce and E-business;
-A Web-based approach to competitive intelligence;
-Learning ontologies for domain-specific information retrieval;
-An open, decentralized architecture for searching for, and publishing information in distributed systems.

Keywords

DOM E-Business E-Commerce Internet WWW algorithms classification data mining decision support system distributed systems fuzzy information system intelligence knowledge management ontology

Editors and affiliations

  • Witold Abramowicz
    • 1
  1. 1.Department of Management Information SystemsThe Poznań University of EconomicsPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-3739-4
  • Copyright Information Springer-Verlag US 2003
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-5376-6
  • Online ISBN 978-1-4757-3739-4
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site