| Intelligent Exploration of the Web 2003 Edition Contributor(s): Szczepaniak, Piotr S. (Editor), Segovia, Javier (Editor), Zadeh, Lotfi A. (Editor) |
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ISBN: 3790815292 ISBN-13: 9783790815290 Publisher: Physica-Verlag OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: November 2002 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Information Technology - Computers | System Administration - Storage & Retrieval |
| Dewey: 005.7 |
| LCCN: 2002034629 |
| Series: Studies in Fuzziness and Soft Computing |
| Physical Information: 1.33" H x 6.44" W x 9.48" (1.67 lbs) 424 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |