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Mastering Data-Intensive Collaboration and Decision Making: The Dicode Project

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Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 454))

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Abstract

Many collaboration and decision making settings are nowadays associated with huge, ever-increasing amounts of multiple types of data, which often have a low signal-to-noise ratio for addressing the problem at hand. The Dicode project aimed at facilitating and augmenting collaboration and decision making in such data-intensive and cognitively-complex settings. To do so, whenever appropriate, it built on prominent high-performance computing paradigms and proper data processing technologies to meaningfully search, analyze and aggregate data existing in diverse, extremely large, and rapidly evolving sources. At the same time, particular emphasis was given to the deepening of our insights about the proper exploitation of big data, as well as to collaboration and sense making support issues. This chapter reports on the overall context of the Dicode project, its scientific and technical objectives, the exploitation of its results and its potential impact.

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Notes

  1. 1.

    A shorter version of this chapter appears in [6].

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Author information

Authors and Affiliations

  1. Computer Technology Institute and Press “Diophantus”, University of Patras, 26504, Rio Patras, Greece

    Nikos Karacapilidis

Authors
  1. Nikos Karacapilidis
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Correspondence to Nikos Karacapilidis .

Editor information

Editors and Affiliations

  1. Technical University of Lisbon, Lisbon, Portugal

    Ana Fred

  2. Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands

    Jan L.G. Dietz

  3. Henley Business School, University of Reading, Reading, United Kingdom

    Kecheng Liu

  4. INSTICC, Setubal, Portugal

    Joaquim Filipe

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Karacapilidis, N. (2015). Mastering Data-Intensive Collaboration and Decision Making: The Dicode Project. In: Fred, A., Dietz, J., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2013. Communications in Computer and Information Science, vol 454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46549-3_2

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  • DOI: https://doi.org/10.1007/978-3-662-46549-3_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46548-6

  • Online ISBN: 978-3-662-46549-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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