web communities analysis and construction

[...]... help analyze Web communities This includes how to use user access patterns from Web log to explore Web community, how to use co-occurrence to enlarge Web communities, and also includes techniques for formal analysis and modeling of Web communities Chap 8 presents a summary and some future directions 1.4 Audience of the Book This book should be interesting to both academic and industry communities for... communities for research into Web search, Web- based information retrieval and Web mining, and for the development of more effective and efficient Web services and applications This book has the following features: • It systematically presents, describes and discusses representative algorithms for Web community construction and analysis • It highlights various important applications of the Web community • It summarizes... rank and related approaches Chap 5 presents affinity and co-citation approaches for Web community analysis, including matrix-based hierarchical clustering algorithms, CoCitation and extended algorithms etc Chap 6 presents graph-based algorithms and approaches for constructing Web communities, and discusses Web community evolution patterns Chap 7 introduces several techniques to either find Web communities. .. Therefore, database & community centered Web data management systems provide more capabilities than database-centered ones in Web- based data management 1.3 Outline of the Book This book will address the construction and analysis of various Web communities based on information available from Web, such as Web document contents, hyperlinks, semantics and user access logs Web community applications are also... research and development work could be roughly classified into two main sub-areas: Web search engines and Web data management Web search engine technology has scaled dramatically with the growth of the Web since 1994 to help Web users find desired information, and has resulted in a large number of research results such as (McBryan 1994) (Brin and L Page 1998) (Brin and Page) (Cho et al 1998) (Sonnenreich and. .. book, we focus on Web community approach, i.e establishing good Web page communities, to support Web- based data management and infor- 1.3 Outline of the Book 5 mation retrieval A Web page (data) community is a set of Web pages that has its own logical and semantic structures For example, a Web page set with clusters in it is a community; Web pages in a set that are related to a given Web page also form... scientific literature on the Web and improves the search efficiency and effectiveness The Web page community is flexible in reflecting the Web data nature, such as dynamics and heterogeneity Furthermore, Web page communities could be solely used by various applications or be embedded in Webbased databases to provide more flexibility in Web data management, information retrieval and application support Therefore,... research in Web search engines and Web data management Effective and efficient Web data management is the base for a good Web search engine On the other hand, the data management could be applied to many other Web applications, such as 4 1 Introduction Web- based information integration systems and metasearch engines (Meng et al 2002) Although much work has been done in Web- based data management in the... structure would break down the contents of the Web data (text, hyperlinks, images, tags etc.) into separated information pieces, and intrinsic semantic relationship within a Web page and among the Web pages would be lost In other words, Web databases alone could not provide the flexibility to reflect the dynamics of the Web data and effectively support various Web- based applications Unlike the conventional... management in which data models and schemas are defined, the Web community, which is a set of Web- based objects (documents and users) that has its own logical structures, is another effective and efficient approach to reorganize Web- based objects, support information retrieval and implement various applications According to the practical requirements and concerned situations, Web community would appear . a Web Community 141 7 Web Community Related Techniques 145 IX 7.1 Web Community and Web Usage Mining 145 7.2 Discovering Web Communities Using Co-occurrence 147 7.3 Finding High-Level Web Communities. Communities 149 7.4 Web Community and Formal Concept Analysis 151 7.4.1 Formal Concept Analysis 152 7.4.2 From Concepts to Web Communities 152 7.5 Generating Web Graphs with Embedded Web Communities. algorithms and approaches for constructing Web communities, and discusses Web community evolution patterns. Chap. 7 introduces several techniques to either find Web communities or help analyze Web communities.