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Profiling and Matchmaking Strategies in Support of Opportunistic Collaboration

  • Conference paper
On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE (OTM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2888))

Abstract

With the recent advances in communications technologies and decentralization of work practices, there has been an increase in distributed, remote, computerized work environments. In most systems, individuals work from their personal computer terminals, unaware of their peers. With the change from a physical to a virtual environment, opportunities for collaboration often go unnoticed. In this paper, we focus on how to bring unplanned collaboration about. We present an agent framework to encourage and support unplanned cooperation between people. Agents build user profiles through analysis of their documents and work environment and match them according to their interests, activities and opportunities for collaboration. By matching users’ work contexts, needs and resources, we expect to uncover opportunities for collaboration, filter down the information to be provided and determine the moment and recipients of the information. The notification of these opportunities should lead to more frequent collaboration between users. Resource sharing is facilitated in the hopes of stimulating collaboration.

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Author information

Authors and Affiliations

  1. COPPE/UFRJ – Graduate School of Engineering, Federal University of Rio de Janeiro, PO Box 68511, Zip Code 21941-972, Rio de Janeiro, RJ, Brazil

    Adriana Vivacqua, Melfry Moreno & Jano de Souza

  2. Institute of Mathematics, Federal University of Rio de Janeiro, PO Box 68511, Zip Code 21941-972, Rio de Janeiro, RJ, Brazil

    Jano de Souza

Authors
  1. Adriana Vivacqua
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  2. Melfry Moreno
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  3. Jano de Souza
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Editor information

Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, VIC 3001, Melbourne, Australia

    Zahir Tari

  3. Department of Electrical Engineering and Computer Science, Vanderbilt University, TN 37203, Nashville, USA

    Douglas C. Schmidt

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© 2003 Springer-Verlag Berlin Heidelberg

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Vivacqua, A., Moreno, M., de Souza, J. (2003). Profiling and Matchmaking Strategies in Support of Opportunistic Collaboration. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds) On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE. OTM 2003. Lecture Notes in Computer Science, vol 2888. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39964-3_12

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  • DOI: https://doi.org/10.1007/978-3-540-39964-3_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20498-5

  • Online ISBN: 978-3-540-39964-3

  • eBook Packages: Springer Book Archive

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