Knowledge-Based Information Retrieval and Filtering from the Web / Edition 1

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The book overviews several stochastic adaptive search methods for global optimization and provides analytical results regarding their performance and complexity. It develops a class of hit-and-run algorithms that are theoretically motivated and do not require fine-tuning of parameters. Several engineering global optimization problems are summarized to demonstrate the kinds of practical problems that are now within reach.

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Table of Contents

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

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