Ebook: 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.

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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.

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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.

Content:
Front Matter....Pages i-xvi
Towards an Ontological Representation of Knowledge on the Web....Pages 1-22
Advances in Information Extraction....Pages 23-52
Information Retrieval and Administration of Distributed Documents in Internet....Pages 53-73
Hard and Soft Modelling Based Knowledge Capture for Information Flow Management....Pages 75-100
Summarization of Texts Found on the World Wide Web....Pages 101-120
Model of User Profiles and Personalization for Web-Based Information Retrieval System....Pages 121-136
An Open, Decentralised Architecture for Searching for, and Publishing, Information in Distributed Systems....Pages 137-152
Information Retrieval under Constricted Bandwidth....Pages 153-164
Multilingual WWW....Pages 165-184
Generic Hierarchical Classification Using the Single-Link Clustering....Pages 185-217
Clustering of Documents on the Basis of Text Fuzzy Similarity....Pages 219-230
Intelligent Agents for Document Categorization and Adaptive Filtering Using a Neural Network Approach and Fuzzy Logic....Pages 231-250
The Virtual Boutique: Multimedia Retrieval and Data Mining for E-Commerce and E-Business in the Framework of a Virtual Environment....Pages 251-268
A Web-Based Approach to Competitive Intelligence....Pages 269-283
Learning Ontologies for Domain-Specific Information Retrieval....Pages 285-300
Back Matter....Pages 301-303

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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.

Content:
Front Matter....Pages i-xvi
Towards an Ontological Representation of Knowledge on the Web....Pages 1-22
Advances in Information Extraction....Pages 23-52
Information Retrieval and Administration of Distributed Documents in Internet....Pages 53-73
Hard and Soft Modelling Based Knowledge Capture for Information Flow Management....Pages 75-100
Summarization of Texts Found on the World Wide Web....Pages 101-120
Model of User Profiles and Personalization for Web-Based Information Retrieval System....Pages 121-136
An Open, Decentralised Architecture for Searching for, and Publishing, Information in Distributed Systems....Pages 137-152
Information Retrieval under Constricted Bandwidth....Pages 153-164
Multilingual WWW....Pages 165-184
Generic Hierarchical Classification Using the Single-Link Clustering....Pages 185-217
Clustering of Documents on the Basis of Text Fuzzy Similarity....Pages 219-230
Intelligent Agents for Document Categorization and Adaptive Filtering Using a Neural Network Approach and Fuzzy Logic....Pages 231-250
The Virtual Boutique: Multimedia Retrieval and Data Mining for E-Commerce and E-Business in the Framework of a Virtual Environment....Pages 251-268
A Web-Based Approach to Competitive Intelligence....Pages 269-283
Learning Ontologies for Domain-Specific Information Retrieval....Pages 285-300
Back Matter....Pages 301-303
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