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International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management

IC3K 2010: Knowledge Discovery, Knowledge Engineering and Knowledge Management pp 413–427Cite as

Semantics for Enhanced Email Collaboration

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 272))

Abstract

Digital means of communications such as email and IM have become a crucial tool for collaboration. Taking advantage of the fact that information exchanged over these media can be made persistent, a lot of research has strived to make sense of the ongoing communication processes in order to support the participants with their management. In this Chapter we pursue a workflow-oriented approach to demonstrate how, coupled with appropriate information extraction techniques, robust knowledge models and intuitive user interfaces; semantic technology can provide support for email-based collaborative work. While eliciting as much knowledge as possible, our design concept imposes little to no changes, and/or restrictions, to the conventional use of email.

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Author information

Authors and Affiliations

  1. Digital Enterprise Research Institute, NUIG, IDA Business Park, Lower Dangan, Galway, Ireland

    Simon Scerri

Authors
  1. Simon Scerri
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Editor information

Editors and Affiliations

  1. IST - Technical University of Lisbon, Av.Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Ana Fred

  2. Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands

    Jan L. G. Dietz

  3. Informatics Research Centre, University of Reading, UK

    Kecheng Liu

  4. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

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Scerri, S. (2013). Semantics for Enhanced Email Collaboration. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2010. Communications in Computer and Information Science, vol 272. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29764-9_28

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  • DOI: https://doi.org/10.1007/978-3-642-29764-9_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29763-2

  • Online ISBN: 978-3-642-29764-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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