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Titlebook: Intelligent Exploration of the Web; Piotr S. Szczepaniak,Javier Segovia,Lotfi A. Zadeh Book 2003 Springer-Verlag Berlin Heidelberg 2003 We

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書(shū)目名稱(chēng)Intelligent Exploration of the Web
編輯Piotr S. Szczepaniak,Javier Segovia,Lotfi A. Zadeh
視頻videohttp://file.papertrans.cn/470/469664/469664.mp4
概述Presentation of computationally intelligent methods for dealing with problems related to Web.Includes supplementary material:
叢書(shū)名稱(chēng)Studies in Fuzziness and Soft Computing
圖書(shū)封面Titlebook: Intelligent Exploration of the Web; Piotr S. Szczepaniak,Javier Segovia,Lotfi A. Zadeh Book 2003 Springer-Verlag Berlin Heidelberg 2003 We
描述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. Bas
出版日期Book 2003
關(guān)鍵詞Web; Web Databases; World Wide Web; classification; data mining; database; expert system; fuzzy system; lear
版次1
doihttps://doi.org/10.1007/978-3-7908-1772-0
isbn_softcover978-3-7908-2519-0
isbn_ebook978-3-7908-1772-0Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2003
The information of publication is updating

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Intelligent Exploration of the Web978-3-7908-1772-0Series ISSN 1434-9922 Series E-ISSN 1860-0808
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Piotr S. Szczepaniak,Javier Segovia,Lotfi A. ZadehPresentation of computationally intelligent methods for dealing with problems related to Web.Includes supplementary material:
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Internet as a Challenge to Fuzzy Querying how elements of fuzzy logic, notably fuzzy terms, linguistic quantifiers and modifiers, can be employed to attain human consistent and useful solutions. Specifically, we present an approach to fuzzy querying implemented as our FQUERY for Access system, and then extended to make fuzzy querying possible via a WWW browser.
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Content-Based Fuzzy Search in a Multimedia Web Databaseompare terms established in the query with those found in the database. A description is given of the formulas used to calculate the similarity degree between these terms to allow for classification of the media in the response set, as well as the algorithms used to search through the database to retrieve the media.
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Accurately and Reliably Extracting Data from the Web: A Machine Learning Approachly accurate extraction rules, to verify the wrapper to ensure that the correct data continues to be extracted, and to automatically adapt to changes in the sites from which the data is being extracted.
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