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International Conference on Knowledge Engineering and Knowledge Management

EKAW 2014: Knowledge Engineering and Knowledge Management pp 185–192Cite as

Assessing the Spatio-Temporal Fitness of Information Supply and Demand on an Adaptive Ship Bridge

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8982))

Abstract

The information supply to crew on nautical ship bridges has a significant impact on the probability of accident occurrences. A reason is, too much or too less information is supplied, not satisfying the information demand. A solution to this problem is the Adaptive Ship Bridge - a system that closes this information gap between supply and demand by adaptation. However, to create an effective Adaptive Ship Bridge it is necessary to assess the information gap during design time. The thesis introduced in this paper proposes a novel method for assessment in spatio-temporal and information quality dimensions. The method will allow designing Adaptive Ship Bridges that will help to reduce accident risk.

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Author information

Authors and Affiliations

  1. R&D Division Transportation, OFFIS - Institute for Information Technology, Oldenburg, Germany

    Christian Denker

Authors
  1. Christian Denker
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Corresponding author

Correspondence to Christian Denker .

Editor information

Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Patrick Lambrix

  2. Aalto University, Espoo, Finland

    Eero Hyvönen

  3. Linköping University, Linköping, Sweden

    Eva Blomqvist

  4. STLab ISTC-CNR, Rome, Italy

    Valentina Presutti

  5. Southeast University, Nanjing, Jiangsu, China

    Guilin Qi

  6. University of Manchester, Manchester, United Kingdom

    Uli Sattler

  7. Indiana University Bloomington, Bloomington, Indiana, USA

    Ying Ding

  8. Fondazione Bruno Kessler, Trento, Italy

    Chiara Ghidini

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© 2015 Springer International Publishing Switzerland

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Denker, C. (2015). Assessing the Spatio-Temporal Fitness of Information Supply and Demand on an Adaptive Ship Bridge. In: Lambrix, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2014. Lecture Notes in Computer Science(), vol 8982. Springer, Cham. https://doi.org/10.1007/978-3-319-17966-7_27

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  • DOI: https://doi.org/10.1007/978-3-319-17966-7_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17965-0

  • Online ISBN: 978-3-319-17966-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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