Advanced Query Processing

Volume 1: Issues and Trends

  • Barbara Catania
  • Lakhmi C. Jain

Part of the Intelligent Systems Reference Library book series (ISRL, volume 36)

Table of contents

  1. Front Matter
    Pages 1-15
  2. Barbara Catania, Lakhmi Jain
    Pages 1-13
  3. Christoph Lofi, Wolf-Tilo Balke
    Pages 15-36
  4. Georgia Koutrika, Evaggelia Pitoura, Kostas Stefanidis
    Pages 57-81
  5. Alberto Belussi, Barbara Catania, Sara Migliorini
    Pages 83-127
  6. Giovanna Guerrini
    Pages 129-155
  7. Wee Hyong Tok, Stéphane Bressan
    Pages 157-185
  8. Sai Wu, Beng Chin Ooi, Kian-Lee Tan
    Pages 187-210
  9. Anastasios Gounaris, Efthymia Tsamoura, Yannis Manolopoulos
    Pages 211-236
  10. Barbara Catania, Giovanna Guerrini
    Pages 237-269
  11. Gilles Nachouki, Mohamed Quafafou, Omar Boucelma, François-Marie Colonna
    Pages 271-303
  12. Cornelia Hedeler, Alvaro A. A. Fernandes, Khalid Belhajjame, Lu Mao, Chenjuan Guo, Norman W. Paton et al.
    Pages 305-341
  13. Back Matter
    Pages 0--1

About this book


This research book presents key developments, directions, and challenges concerning advanced query processing for both traditional and non-traditional data. A special emphasis is devoted to approximation and adaptivity issues as well as to the integration of heterogeneous data sources.


The book will prove useful as a reference book for senior undergraduate or graduate courses on advanced data management issues, which have a special focus on query processing and data integration. It is aimed for technologists, managers, and developers who want to know more about emerging trends in advanced query processing.


Approximate Query Processing Computational Intelligence Intelligent Systems Semantic-based Query Processing

Editors and affiliations

  • Barbara Catania
    • 1
  • Lakhmi C. Jain
    • 2
  1. 1.Dipto. Informatica e Science, dell'InformazioneUniversità GenovaGenovaItaly
  2. 2., School of Electrical and InformationUniversity of South AustraliaAdelaideAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-28322-2
  • Online ISBN 978-3-642-28323-9
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site