Building an Intelligent Web: Theory and Practice

Building an Intelligent Web: Theory and Practice

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The World Wide Web has become an extremely popular way of publishing and distributing electronic resources. Though the Web is rich with information, collecting and making sense of this data is difficult because it is rather unorganized. Building an Intelligent Web introduces students and professionals to the state-of-the art development of Web Intelligence techniques and teaches how to apply these techniques to develop the next generation of intelligent Web sites. Each chapter contains theoretical bases, which are also illustrated with the help of simple numeric examples, followed by practical implementation. Students will find Building an Intelligent Web to be an active and exciting introduction to advanced Web mining topics. Topics covered include Web Intelligence, Information Retrieval, Semantic Web, Classification and Association Rules, SQL, Database Theory, Applications to e-commerce and Bioinformatics, Clustering, Modeling Web Topology, and much more!Metadata capture part of the meaning of data, thus the term semantic in the Semantic Web. Let us relate the situation today to the early days of the Web. The first users decided to adopt HTML because it had started to establish itself as a standard. ... A paper by Noy and McGuiness (2001), entitled a€œOntology Development 101: A Guide to Create Your First Ontology, a€ presents details of ... For instance, a car is a general concept, whereas a Honda Civic is a specific instance of the concept.

Title:Building an Intelligent Web: Theory and Practice
Author: Pawan Lingras, Rajendra Akerkar
Publisher:Jones & Bartlett Publishers - 2010-03-10

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