Knowledge-Based Information Retrieval and Filtering from the Web

by Abramowicz, Witold

• ISBN13: 9781402075230
• ISBN10: 1402075235
• Format: Hardcover
• Copyright: 2003-11-01
• Publisher: Kluwer Academic Pub

Summary

In today's business arena information is one of the most important resources possessed by enterprises. In order to support proper information flow, businesses deploy transactional systems, build decision support systems or launch management information systems. Unfortunately, the majority of information systems do not take advantage of recent developments in knowledge management, thus exposing companies to the risk of missing important information, or what is even worse, leading them to misinterpret information. 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 in these chapters 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.

Table of Contents

Preface	ix
Contributing authors	xv
I FOUNDATIONS OF INFORMATION RETRIEVAL AND INFORMATION FILTERING
CHAPTER 1 Towards an Ontological Representation of Knowledge on the Web	1	(22)
Krzysztof Wecel
Department of Management Information Systems
The Poznan University of Economics, Poland
CHAPTER 2 Advances in Information Extraction	23	(30)
Jakub Piskorski
German Research Center for Artificial Intelligence
Saarbrücken, Germany
CHAPTER 3 Information Retrieval and Administration of Distributed Documents in Internet	53	(22)
David A. Garza-Salazar, Juan C. Lavariega, Martha Sordia-Salinas
ITESM-Campus Monterrey
CHAPTER 4 Hard and Soft Modelling Based Knowledge Capture for Information Flow Management	75	(26)
Edward Szczerbicki
The University of Newcastle, NSW, Australia
II WEB BASED INFORMATION RETRIEVAL
CHAPTER 5 Summarization of Texts Found on the World Wide Web	101	(20)
Marie-Francine Moens, Roxana Angheluta and Rik De Busser
Katholieke Universiteit Leuven, Belgium
CHAPTER 6 Model of User Profiles and Personalization for Web-based Information Retrieval System	121	(16)
Czeslaw Danilowicz, Huy Cuong Nguyen, Ngoc Thanh Nguyen
Department of Information Systems, Wroclaw University of Technology
CHAPTER 7 An open, decentralised architecture for searching for, and publishing, information in distributed systems	137	(16)
Harald Häuschen
Department of Information Technology, University of Zurich
CHAPTER 8 Information Retrieval under Constricted Bandwidth	153	(12)
Hakikur Rahman
SDNP
CHAPTER 9 Multilingual WWW	165	(20)
Feiyu Xu
DFKI LT Lab, Saarbrücken, Germany
III CLUSTERING
CHAPTER 10 Generic Hierarchical Classification Using the Single-Link Clustering	185	(34)
Willy Picard and Wojciech Cellary
Department of Information Technology
The Poznan University of Economics
CHAPTER 11 Clustering of Documents on the Basis of Text Fuzzy Similarity	219	(12)
Piotr S. Szczepaniak 1,2), Adam Niewiadomski 1),
1) Institute of Computer Science, Technical University of Lódz, Poland
2) Systems Research Institute, Polish Academy of Sciences, Poland
CHAPTER 12 Intelligent Agents for Document Categorization and Adaptive Filtering Using a Neural Network Approach and Fuzzy Logic	231	(20)
Frank Teuleherg
Business Informatics, European University Viadrina, Frankfurt (Oder), Germany
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	251	(18)
Eric Paquet and Herna Viktor
NRC and University of Ottawa
CHAPTER 14 A Web-based approach to Competitive Intelligence	269	(16)
Peter Gerstl, Birgit Kuhn, Hans-Joachim Novak
IBM Germany
CHAPTER 15 Learning Ontologies for Domain-Specific Information Retrieval	285
Hele-Mai Haav
Institute of Cybernetics at Tallinn Technical University, Estonia