The rapid development of Web technologies has made the World Wide
Web a huge information source. However, due to the lack of a
well-defined underlying data model for Web documents, effectively
and efficiently finding required information and managing Web data
are usually tedious and difficult tasks when using conventional
information retrieval and data management techniques. The Web page
community, defined as a set of Web-based documents with its own
logical and/or semantic structures, provides a flexible and
effective approach to support Wed data management, information
retrieval and applications. This book addresses using hyperlink
information to discover Web page communities. The work establishes
a uniform framework for hyperlink analysis and community
construction. Algorithms, supporting mechanisms and data models are
proposed in the book. This book should help shed some light on this
new and exciting research and application area. It is useful to
researchers and students in Web mining, Web data management and
information retrieval, as well as to professionals who may be
considering utilizing Web communities to improve their
applications.
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