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Trust and Reputation Models for Quality Assessment of Human Sensor Observations

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Spatial Information Theory (COSIT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8116))

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Abstract

With the rise of human sensor observation as a major source of geospatial information, the traditional assessment of information quality based on parameters like accuracy, consistency and completeness is shifting to new measures. In volunteered geographic information (VGI) these conventional parameters are either lacking or not explicit. Regarding human observation quality as fitness for purpose, we propose to use trust and reputation as proxy measures of it. Trustworthy observations then take precedence over less trustworthy observations. Further, we propose that trust and reputation have spatial and temporal dimensions and we build computational models of trust for quality assessment including these dimensions. We present the case study of the H2.0 VGI project for water quality management. Through agent based modeling, the study has established the validity of a spatio-temporal trust model for assessing the trustworthiness and hence the quality of human observations. We first introduce a temporally sensitive trust model and then discuss the extension of the temporal model with spatial dimensions and their effects on the computational trust model.

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Author information

Authors and Affiliations

  1. Paluno_The Ruhr Institute for Software Technology, Duisburg-Essen University, 45127, Essen, Germany

    Mohamed Bishr

  2. Institute for Geoinformatics, University of Muenster, Muenster, Germany

    Werner Kuhn

Authors
  1. Mohamed Bishr
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  2. Werner Kuhn
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Editor information

Editors and Affiliations

  1. School of Linguistics & English Language, Bangor University, College Road, LL57 2DG, Bangor, UK

    Thora Tenbrink

  2. School of Computing, University of Leeds, Woodhouse Lane, LS2 9JT, Leeds, UK

    John Stell

  3. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Harrison Building, North Park Road, EX4 4QF, Exeter, UK

    Antony Galton  & Zena Wood  & 

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Bishr, M., Kuhn, W. (2013). Trust and Reputation Models for Quality Assessment of Human Sensor Observations. In: Tenbrink, T., Stell, J., Galton, A., Wood, Z. (eds) Spatial Information Theory. COSIT 2013. Lecture Notes in Computer Science, vol 8116. Springer, Cham. https://doi.org/10.1007/978-3-319-01790-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-01790-7_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01789-1

  • Online ISBN: 978-3-319-01790-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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