Knowledge-Based Information Retrieval and Filtering from the Web

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Witold Abramowicz
Springer Science & Business Media, Sep 30, 2003 - Computers - 303 pages
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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.

 

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Contents

TOWARDS AN ONTOLOGICAL REPRESENTATION OF KNOWLEDGE ON THE WEB
1
ADVANCES IN INFORMATION EXTRACTION
23
INFORMATION RETRIEVAL AND ADMINISTRATION OF DISTRIBUTED DOCUMENTS IN INTERNET
53
HARD AND SOFT MODELLING BASED KNOWLEDGE CAPTURE FOR INFORMATION FLOW MANAGEMENT
75
SUMMARIZATION OF TEXTS FOUND ON THE WORLD WIDE WEB
101
MODEL OF USER PROFILES AND PERSONALIZATION FOR WEBBASED INFORMATION RETRIEVAL SYSTEM
121
AN OPEN DECENTRALISED ARCHITECTURE FOR SEARCHING FOR AND PUBLISHING INFORMATION IN DISTRIBUTED SYSTEMS
137
INFORMATION RETRIEVAL UNDER CONSTRICTED BANDWIDTH
153
MULTILINGUAL WWW
165
GENERIC HIERARCHICAL CLASSIFICATION USING THE SINGLELINK CLUSTERING
185
CLUSTERING OF DOCUMENTS ON THE BASIS OF TEXT FUZZY SIMILARITY
219
INTELLIGENT AGENTS FOR DOCUMENT CATEGORIZATION AND ADAPTIVE FILTERING USING A NEURAL NETWORK APPROACH A...
231
THE VIRTUAL BOUTIQUE MULTIMEDIA RETRIEVAL AND DATA MINING FOR ECOMMERCE AND EBUSINESS IN THE FRAMEWORK ...
251
A WEBBASED APPROACH TO COMPETITIVE INTELLIGENCE
269
LEARNING ONTOLOGIES FOR DOMAINSPECIFIC INFORMATION RETRIEVAL
285
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