Ebook: Intelligent Exploration of the Web

The Web is the nervous system of information society. As such, it has a pervasive influence on our daily lives. And yet, in some ways the Web does not have a high MIQ (Machine IQ). What can be done to enhance it? This is the leitmotif of "Intelligent Exploration of the Web," (lEW)--a collection of articles co-edited by Drs. Szczepaniak, Segovia, Kacprzyk and, to a small degree, myself. The articles that comprise lEW address many basic problems ranging from structure analysis of Internet documents and Web dialogue management to intelligent Web agents for extraction of information, and bootstrapping an ontology-based information extraction system. Among the basic problems, one that stands out in importance is the problem of search. Existing search engines have many remarkable capabilities. But what is not among them is the deduction capability--the capability to answer a query by drawing on information which resides in various parts of the knowledge base. An example of a query might be "How many Ph.D. degrees in computer science were granted by European universities in 1996?" No existing search engine is capable of dealing with queries of comparable or even much lower complexity. Basically, what we would like to do is to add deduction capability to a search engine, with the aim of transforming it into a question-answering system, or a QI A system, for short. This is a problem that is of major importance and a challenge that is hard to meet.

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The book contains an up-to-date collection of contributions from around the world that cover the wide spectrum of problems related to the World Wide Web. These problems include: organization of Web resources, information retrieval including browsing and Web data mining. Particular emphasis has been put on the creative and innovative application of intelligent methods for effective operations on the Web (information retrieval, extraction, and interpretation). The methods involve but are not restricted to fuzzy logic, neural networks, intelligent clustering, intelligent agents, and expert systems; and operate on textual and - in some cases - multimedia-based Web databases.

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The book contains an up-to-date collection of contributions from around the world that cover the wide spectrum of problems related to the World Wide Web. These problems include: organization of Web resources, information retrieval including browsing and Web data mining. Particular emphasis has been put on the creative and innovative application of intelligent methods for effective operations on the Web (information retrieval, extraction, and interpretation). The methods involve but are not restricted to fuzzy logic, neural networks, intelligent clustering, intelligent agents, and expert systems; and operate on textual and - in some cases - multimedia-based Web databases.
Content:
Front Matter....Pages I-XII
Front Matter....Pages 1-1
Structure Analysis and Generation for Internet Documents....Pages 3-18
A Fuzzy System for the Web Page Representation....Pages 19-37
Flexible Representation and Retrieval of WEB Documents....Pages 38-53
Front Matter....Pages 55-55
Intelligent Information Retrieval on the Web....Pages 57-73
Internet as a Challenge to Fuzzy Querying....Pages 74-95
Internet Search Based on Text Intuitionistic Fuzzy Similarity....Pages 96-102
Content-Based Fuzzy Search in a Multimedia Web Database....Pages 103-118
Self-Organizing Maps for Interactive Search in Document Databases....Pages 119-135
Methods for Exploratory Cluster Analysis....Pages 136-151
Textual Information Retrieval with User Profiles Using Fuzzy Clustering and Inferencing....Pages 152-165
Intelligent Clustering as Source of Knowledge for Web Dialogue Manager in a Information Retrieval System....Pages 166-180
Documents Clustering Using Tolerance Rough Set Model and Its Application to Information Retrieval....Pages 181-196
Improving Web Search by the Identification of Contextual Information....Pages 197-224
Intelligent Internet-Based Multiagent Systems....Pages 225-239
Neural Agent for Text Database Discovery....Pages 240-254
Intelligent Web Agents that Learn to Retrieve and Extract Information....Pages 255-274
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach....Pages 275-287
Web Browsing Using Machine Learning on Text Data....Pages 288-303
Retrieval of Semistructured Web Data....Pages 304-323
Intelligent Retrieval of Hypermedia Documents....Pages 324-344
Front Matter....Pages 55-55
Bootstrapping an Ontology-Based Information Extraction System....Pages 345-359
Front Matter....Pages 361-361
Intelligent Web Mining....Pages 363-388
A Neural Net Approach to Data Mining: Classification of Users to Aid Information Management....Pages 389-401
Web-Based Expert Systems: Information Clients versus Knowledge Servers....Pages 402-417
Back Matter....Pages 419-424

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The book contains an up-to-date collection of contributions from around the world that cover the wide spectrum of problems related to the World Wide Web. These problems include: organization of Web resources, information retrieval including browsing and Web data mining. Particular emphasis has been put on the creative and innovative application of intelligent methods for effective operations on the Web (information retrieval, extraction, and interpretation). The methods involve but are not restricted to fuzzy logic, neural networks, intelligent clustering, intelligent agents, and expert systems; and operate on textual and - in some cases - multimedia-based Web databases.
Content:
Front Matter....Pages I-XII
Front Matter....Pages 1-1
Structure Analysis and Generation for Internet Documents....Pages 3-18
A Fuzzy System for the Web Page Representation....Pages 19-37
Flexible Representation and Retrieval of WEB Documents....Pages 38-53
Front Matter....Pages 55-55
Intelligent Information Retrieval on the Web....Pages 57-73
Internet as a Challenge to Fuzzy Querying....Pages 74-95
Internet Search Based on Text Intuitionistic Fuzzy Similarity....Pages 96-102
Content-Based Fuzzy Search in a Multimedia Web Database....Pages 103-118
Self-Organizing Maps for Interactive Search in Document Databases....Pages 119-135
Methods for Exploratory Cluster Analysis....Pages 136-151
Textual Information Retrieval with User Profiles Using Fuzzy Clustering and Inferencing....Pages 152-165
Intelligent Clustering as Source of Knowledge for Web Dialogue Manager in a Information Retrieval System....Pages 166-180
Documents Clustering Using Tolerance Rough Set Model and Its Application to Information Retrieval....Pages 181-196
Improving Web Search by the Identification of Contextual Information....Pages 197-224
Intelligent Internet-Based Multiagent Systems....Pages 225-239
Neural Agent for Text Database Discovery....Pages 240-254
Intelligent Web Agents that Learn to Retrieve and Extract Information....Pages 255-274
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach....Pages 275-287
Web Browsing Using Machine Learning on Text Data....Pages 288-303
Retrieval of Semistructured Web Data....Pages 304-323
Intelligent Retrieval of Hypermedia Documents....Pages 324-344
Front Matter....Pages 55-55
Bootstrapping an Ontology-Based Information Extraction System....Pages 345-359
Front Matter....Pages 361-361
Intelligent Web Mining....Pages 363-388
A Neural Net Approach to Data Mining: Classification of Users to Aid Information Management....Pages 389-401
Web-Based Expert Systems: Information Clients versus Knowledge Servers....Pages 402-417
Back Matter....Pages 419-424
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