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Collaborative Search and Communities of Interest: Trends in Knowledge Sharing and Assessment
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Collaborative Search and Communities of Interest: Trends in Knowledge Sharing and Assessment

Pascal Francq (Universite Libre de Bruxelles, Belgium)
Indexed In: SCOPUS View 2 More Indices
Release Date: July, 2010 | Copyright: © 2011 | Pages: 312

Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9781615208418
EISBN13: 9781615208425
DOI: 10.4018/978-1-61520-841-8

Description:

Since the dawn of the 21st Century the invention of Web 2.0 has enabled people from all backgrounds to contribute content on the Internet. In doing so, the Internet has become more of a social platform, thus establishing a growing need for innovative social software and the organization of collaborative interest communities.

Collaborative Search and Communities of Interest: Trends in Knowledge Sharing and Assessment provides a comprehensive collection of knowledge from experts within the Information and Knowledge Management field. Outlining various concepts from an application and technical stand point and providing insight on the various dimensions (sociological, psychological, technical, etc.) of social Internet collaboration. This book provides solutions to the detection of interest communities, as well as the study of how tools and knowledge sharing impact the environment where they are used.
Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Automatic communities’ detection
  • Collaborative decisions-taking processes
  • Collective Intelligence
  • Communities-oriented models and algorithms
  • Conceptual Frameworks
  • Exploiting user-generated metadata
  • Interest-based information filtering
  • Knowledge Sharing
  • On-line collaborations platforms
  • Research and development tools
  • Social Networking

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Reviews

Collaborative Search and Community Interest addresses various issues of communities of interest. [...] The intention is to build a bridge between different research communities and to initiate fruitful discussions, and I think the contributors have succeeded very well in this. [...] Collaborative Search and Community Interest is recommended to researchers in information behaviour, collaborative information seeking and knowledge management, and especially those interested in detecting communities of interest.

– Ina Fourie, University of Pretoria, Online Information Review

Pascal Francq earned his Master’s degree in applied science at the Université Libre de Bruxelles (ULB) in 1996 and his PhD in 2003. From 2003 until 2008, he held the chair in information systems and in digital information at the ULB. He decide to quit due to the lack of time and resources for its research activities, and join a research project at the Université Catholique de Louvain (UCL). His main research topic is the Internet: its technologies, its social aspects and its support as a knowledge sharing platform. Since 1998, he has been working on automatic communities detection. He is the main contributor of the open source platform GALILEI and is currently involved in research on XML document clustering and semi-automatic thesaurus building. He founded in 2009 the Paul Otlet Institute, an independent research center in information science.

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Editorial Advisory Board
Marco Saerens, Université Catholique de Louvain, Belgium
François Lambotte, Université Libre de Bruxelles, Belgium
Dirk Kenis, University College of Mechelen, Belgium
Joan Francesc Fondevila    , Cable Studies Center, Spain