Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 746)
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Table of contents (15 chapters)
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Front Matter
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Foundations of Information Retrieval and Information Filtering
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Web based Information Retrieval
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Knowledge-Based Information Retrieval and Filtering from the Web
Editors: Witold Abramowicz
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4757-3739-4
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2003
Hardcover ISBN: 978-1-4020-7523-0Published: 30 September 2003
Softcover ISBN: 978-1-4419-5376-6Published: 06 December 2010
eBook ISBN: 978-1-4757-3739-4Published: 09 March 2013
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XVI, 303
Topics: Artificial Intelligence, Popular Computer Science, Information Storage and Retrieval, The Computing Profession, e-Commerce/e-business