Community-Built Databases

Research and Development

  • Eric Pardede

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Collaborative Knowledge Collection through Community-Built Databases

    1. Front Matter
      Pages 1-1
    2. Anteneh Ayanso, Tejaswini Herath, Kaveepan Lertwachara
      Pages 3-20
    3. Tania Cerquitelli, Alessandro Fiori, Alberto Grand
      Pages 21-47
  3. Social Analysis in Community-Built Databases

    1. Front Matter
      Pages 49-49
    2. Václav Snášel, Zdeněk Horák, Miloš Kudělka
      Pages 51-71
    3. Symeon Papadopoulos, Athena Vakali, Yiannis Kompatsiaris
      Pages 107-131
  4. Community-Built Databases Storage and Modelling

    1. Front Matter
      Pages 157-157
    2. Antonio Badia
      Pages 159-182
    3. Przemysław Różewski, Emma Kusztina
      Pages 183-204
    4. Rania Soussi, Marie-Aude Aufaure, Hajer Baazaoui
      Pages 205-234
    5. Lorna Uden
      Pages 235-257
  5. Future of Community-Built Databases Research and Development

    1. Front Matter
      Pages 259-259
    2. Jose C. Cortizo, Luis I. Diaz, Francisco M. Carrero, Adrian Yanes, Borja Monsalve
      Pages 261-287
    3. S. Vodanovich, M. Rohde, D. Sundaram
      Pages 289-317
    4. M. Mesiti, M. Ribaudo, S. Valtolina, B. R. Barricelli, P. Boccacci, S. Dini
      Pages 319-340
    5. Sara Javanmardi, Cristina Lopes
      Pages 341-369
  6. Back Matter
    Pages 371-375

About this book


Communities have built collections of information in collaborative ways for centuries. Most recently, Wikipedia is the most prominent example of how collaborative efforts can be powerful in building massive data storage. Other global member-built media data storage examples include Flickr and YouTube, and social networking applications such as Friendster, Facebook, and LinkedIn, which share information between members in large unstructured information pools.

These platforms are obviously only small first steps, and there are many more opportunities to be unleashed using additional semantics, new interactive media, personalization, enhanced cross-references, and other approaches. There is immense potential for creating and sharing more structured data through the Web.

This book, edited by Pardede, addresses the need for a comprehensive research reference on community-built databases. The contributions do not focus on only one database area or only one domain, rather they discuss various technical and social aspects of research in and development of community-built databases. In doing so they provide information on relevant research in Web science, social networks, and collaborative information systems, and they also provide pointers to further research paths.

Overall, this book provides comprehensive reading material for a wide-ranging audience of researchers in database systems, Web-based collaboration tools, and Web science.


Collaborative Environments Community Databases Social Networks Social Web Web 2.0 Web Collaboration Web Communities

Editors and affiliations

  • Eric Pardede
    • 1
  1. 1.Dept. Computer Science &, Computer EngineeringLa Trobe UniversityBundooraAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-19046-9
  • Online ISBN 978-3-642-19047-6
  • Buy this book on publisher's site