Knowledge-based information retrieval and filtering from the web

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.

Krzysztof WecelJakub PiskorskiDavid A. Garza-Salazar and Juan C. Lavariega and Martha Sordia-SalinasEdward SzczerbickiMarie-Francine Moens and Roxana Angheluta and Rik De BusserCzeslaw Danilowicz and Huy Cuong Nguyen and Ngoc Thanh NguyenHarald HauschenHakikur RahmanFeiyu XuWilly Picard and Wojciech CellaryPiotr S. Szczepaniak and Adam NiewiadomskiFrank TeutebergEric Paquet and Herna ViktorPeter Gerstl and Birgit Kuhn and Hans-Joachim NovakHele-Mai Haav

Preface	p. ix
Contributing authors	p. xv
I Foundations of Information Retrieval and Information Filtering
Chapter 1 Towards an Ontological Representation of Knowledge on the Web	p. 1
Chapter 2 Advances in Information Extraction	p. 23
Chapter 3 Information Retrieval and Administration of Distributed Documents in Internet	p. 53
Chapter 4 Hard and Soft Modelling Based Knowledge Capture for Information Flow Management	p. 75
II Web based Information Retrieval
Chapter 5 Summarization of Texts Found on the World Wide Web	p. 101
Chapter 6 Model of User Profiles and Personalization for Web-based Information Retrieval System	p. 121
Chapter 7 An open, decentralised architecture for searching for, and publishing, information in distributed systems	p. 137
Chapter 8 Information Retrieval under Constricted Bandwidth	p. 153
Chapter 9 Multilingual WWW	p. 165
III Clustering
Chapter 10 Generic Hierarchical Classification Using the Single-Link Clustering	p. 185
Chapter 11 Clustering of Documents on the Basis of Text Fuzzy Similarity	p. 219
Chapter 12 Intelligent Agents for Document Categorization and Adaptive Filtering Using a Neural Network Approach and Fuzzy Logic	p. 231
IV Other Issues
Chapter 13 The Virtual Boutique: Multimedia Retrieval and Data Mining for E-commerce and E-business in the framework of a virtual environment	p. 251
Chapter 14 A Web-based approach to Competitive Intelligence	p. 269
Chapter 15 Learning Ontologies for Domain-Specific Information Retrieval	p. 285

Available:*

On Order

Summary

Summary

Table of Contents