© 2011

New Directions in Web Data Management 1

  • Athena Vakali
  • Lakhmi C. Jain

Part of the Studies in Computational Intelligence book series (SCI, volume 331)

Table of contents

  1. Front Matter
  2. Maria Giatsoglou, Symeon Papadopoulos, Athena Vakali
    Pages 19-58
  3. Emilia Mendes
    Pages 59-82
  4. Leonidas Akritidis, Dimitrios Katsaros, Panayiotis Bozanis
    Pages 83-107
  5. Efthymia Tsamoura, Anastasios Gounaris, Yannis Manolopoulos
    Pages 139-169
  6. Barbara Catania, Giovanna Guerrini
    Pages 171-212
  7. George Pallis, Demetrios Zeinalipour-Yazti, Marios D. Dikaiakos
    Pages 213-234
  8. Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Patras, Ioannis Kompatsiaris
    Pages 235-271
  9. Viet Binh Phan, Eric Pardede, J. Wenny Rahayu
    Pages 273-310
  10. David Webster, Lu Liu, Duncan Russell, Colin Venters, Zongyang Luo, Jie Xu
    Pages 311-346
  11. Back Matter

About this book


This book addresses the major issues in the Web data management related to technologies and infrastructures, methodologies and techniques as well as applications and implementations. Emphasis is placed on Web engineering and technologies, Web graph managing, searching and querying and the importance of social Web.


Computational Intelligence Web Data Management

Editors and affiliations

  • Athena Vakali
    • 1
  • Lakhmi C. Jain
    • 2
  1. 1.Department of InformaticsAristotle UniversityThessalonikiGreece
  2. 2.School of Electrical and Information EngineeringUniversity of South AustraliaSouth AustraliaAustralia

Bibliographic information

  • Book Title New Directions in Web Data Management 1
  • Editors Athena Vakali
    Lakhmi C Jain
  • Series Title Studies in Computational Intelligence
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-642-17550-3
  • Softcover ISBN 978-3-642-26690-4
  • eBook ISBN 978-3-642-17551-0
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages XVI, 348
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site


From the reviews:

“This work is a collection of papers by academic subject experts that address current issues related to online data management. The book’s chapters are organized around three major themes: Web structures and metrics, search and query management, and social media. … it contains many valuable contributions to the field of Web data management, particularly the interesting discussions on potential future research questions and problems. Summing Up: Recommended. Graduate students through professionals.” (C. Tappert, Choice, Vol. 49 (2), October, 2011)