Web Data Management Practices: Emerging Techniques and Technologies

Athena Vakali and George Pallis

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DOI: 10.4018/978-1-59904-228-2, ISBN13: 9781599042282, ISBN10: 1599042282, EISBN13: 9781599042305

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MLA

Vakali, Athena and George Pallis. "Web Data Management Practices: Emerging Techniques and Technologies." IGI Global, 2007. 1-303. Web. 21 May. 2013. doi:10.4018/978-1-59904-228-2

APA

Vakali, A., & Pallis, G. (2007). Web Data Management Practices: Emerging Techniques and Technologies (pp. 1-303). doi:10.4018/978-1-59904-228-2

Chicago

Vakali, Athena and George Pallis. "Web Data Management Practices: Emerging Techniques and Technologies." 1-303 (2007), accessed May 21, 2013. doi:10.4018/978-1-59904-228-2

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Web Data Management Practices: Emerging Techniques and Technologies

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Description

New state-of-the-art techniques for analyzing and managing Web data have emerged due to the need for dealing with huge amounts of data which are circulated on the Web. Web Data Management Practices: Emerging Techniques and Technologies provides a thorough understanding of major issues, current practices, and the main ideas in the field of Web data management, helping readers to identify current and emerging issues, as well as future trends in this area.

Web Data Management Practices: Emerging Techniques and Technologies presents a complete overview of important aspects related to Web data management practices, such as: Web mining, Web data clustering, and others. This book also covers an extensive range of topics, including related issues about Web mining, Web caching and replication, Web services, and the XML standard.

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Table of Contents and List of Contributors

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Data Clustering: From Documents to the Web (pages 1-33)

Dušan Husek (Academy of the Sciences of the Czech Repulic, Czech Republic), Jaroslav Pokorny (Charles University, Czech Republic), Hana Rezankova (University of Economics, Czech Republic), Václav Snasel (Technical University of Ostrava, Czech Republic)

Document and information retrieval (IR) is an important task for Web communities. In this chapter, we introduce some clustering methods and focus on their use for th... Sample PDF | More details...

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Clustering Web Information Services (pages 34-55)

Athena Vakali (Aristotle University of Tehssaloniki, Greece), George Pallis (Aristotle University of Tehssaloniki, Greece), Lefteris Angelis (Aristotle University of Tehssaloniki, Greece)

The explosive growth of the Web scale has drastically increased information circulation and dissemination rates. As the number of both Web users and Web sources grow... Sample PDF | More details...

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An Overviewof Similarity Measures for Clustering XML Documents (pages 56-78)

Giovanna Guerrini (Universita degli Studi di Genova, Italy), Marco Mesiti (Universita degli Studi di Milano, Italy), Ismael Sanz (Universitat Jaume I, Spain)

The large amount and heterogeneity of XML documents on the Web require the development of clustering techniques to group together similar documents. Documents can be... Sample PDF | More details...

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Mining Association Rules from XML Documents (pages 79-103)

Laura Irina Rusu (La Trobe University, Australia), Wenny Rahayu (La Trobe University, Australia), David Taniar (Monash University, Australia)

This chapter presents some of the existing mining techniques for extracting association rules out of XML documents, in the context of rapid changes in the Web knowle... Sample PDF | More details...

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Dynamically Generated Web Content: Research and Technology Practices (pages 104-123)

Stavros Papastavrou (University of Cyprus, Cyprus), George Samaras (University of Cyprus, Cyprus), Paraskevas Evripidou (University of Cyprus, Cyprus), Panos K. Chrysanthis (University of Cyprus, Cyprus)

This chapter takes a tutorial approach to present the Web-related technologies and content middlewares that attempt to accelerate the generation and optimize the del... Sample PDF | More details...

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Caching on the Web (pages 124-158)

Mehregan Mahdavi (The University of New South Wales, Australia), Boualem Bentallah (The University of New South Wales, Australia)

The World Wide Web provides a means for sharing data and applications among users. However, its performance and in particular providing fast response time is still a... Sample PDF | More details...

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Information-Theoretic Methods for Prediction in the Wireless and Wired Web (pages 159-178)

Dimitrios Katsaros (Aristotle University of Thessaloniki, Greece)

Discrete sequence modeling and prediction is an important goal and a challenge for Web environments, both wired and wireless. Web client’s data request forecasting a... Sample PDF | More details...

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Designing and Mining Web Applications: A Conceptual Modeling Approach (pages 179-198)

Rosa Meo (Universita di Torino, Italy), Maristella Matera (Politecnico di Milano, Italy)

In this Chapter we present the usage of a modeling language, WebML, for the design and the management of dynamic Web applications. WebML also makes easier the analys... Sample PDF | More details...

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Integrating Heterogeneous Data Sources in the Web (pages 199-219)

Angelo Brayner (University of Fortaleza, Brazil), Macelo Meireles (University of Fortaleza, Brazil), José de Aguiar Moraes Filho (University of Fortaleza, Brazil)

Integrating data sources published on the web requires an integration strategy that guarantees local data sources autonomy. Multidatabase System (MDBS) has been cons... Sample PDF | More details...

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10.

E-mail Mining: Emerging Techniques for E-Mail Management (pages 220-243)

Ioannis Katakis (Aristotle University of Thessaloniki, Greece), Grigorios Tsoumakas (Aristotle University of Thessaloniki, Greece), Ioannis Vlahavas (Aristotle University of Thessaloniki, Greece)

Email has met tremendous popularity over the past few years. People are sending and receiving many messages per day, communicating with partners and friends, or exch... Sample PDF | More details...

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11.

Web Services: Technology Issues and Foundations (pages 244-267)

Bernd Aman (University of Paris 6, France), Salima Benbernou (University of Lyon 1, France), Benjamin Nguyen (University of Versailles, France)

Unlike traditional applications, which depend upon a tight interconnection of all program elements, Web service applications are composed of loosely coupled, autonom... Sample PDF | More details...

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12.

Web Services Management: Toward Efficient Web Data Access (pages 268-290)

Farhana H. Zulkernine (Queen’s University, Canada), Pat Martin (Queen’s University, Canada)

The widespread use and expansion of the World Wide Web has revolutionized the discovery, access and retrieval of information. The Internet has become the doorway to... Sample PDF | More details...

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Reviews and Testimonials

This edited book reviews and discusses existing and emerging techniques for analyzing and managing data available on the Web.

– Online Information Review (2008)

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Author(s)/Editor(s) Biography

Athena Vakali received a B.Sc. degree in Mathematics from the Aristotle University of Thessaloniki, Greece, a M.Sc. degree in Computer Science from Purdue University, USA (with a Fulbright scholarship) and a Ph.D. degree in Computer Science from the Department of Informatics at the Aristotle University of Thessaloniki. Since 1997, she is a faculty member of the Department of Informatics, Aristotle University of Thessaloniki, Greece. She has published several papers in international journals and conferences. Her research interests include storage subsystem’s performance, XML and multimedia data, management and data placement schemes.

George Pallis graduated from the Department of Informatics of Aristotle University of Thessaloniki (Greece) in 2001. Since November 2001, he is with the Dept. of Computer Science of University of Thessaloniki (Greece), studying towards his PhD. His current research interests include Web data caching, content distribution network, data mining and its applications mainly to Web data.

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