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Rule-Based Context Assessment in Smart Cities

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Web Reasoning and Rule Systems (RR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7497))

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Abstract

This paper presents a rule-based architecture that enables causal and temporal reasoning of events and supports their relevance assessment given the user’s situation, in order to provide contextualized services for citizens inhabiting a smart city. Our approach for context reasoning and assessment is illustrated by emergency scenarios.

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References

  1. Cimino, M.G., Lazzerini, B., Marcelloni, F., Ciaramella, A.: An adaptive rule-based approach for managing situation-awareness. Expert Systems with Applications 39(12), 10796–10811 (2012)

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  2. Hu, B.B.: Towards Contextualized Information Delivery: A Rule-based Architecture for the Domain of Mobile Police Work. PhD thesis, Delft University of Technology, Delft, The Netherlands (2011)

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Author information

Authors and Affiliations

  1. Lissi Laboratory, University of Paris-Est Creteil (UPEC), Creteil, France

    Beibei Hu, Theodore Patkos, Abdelghani Chibani & Yacine Amirat

Authors
  1. Beibei Hu
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  2. Theodore Patkos
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  3. Abdelghani Chibani
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  4. Yacine Amirat
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Oxford, Parks Road, Wolfson Building, OX1 3QD, Oxford, UK

    Markus Krötzsch

  2. ISTI - CNR, Via G. Moruzzi, 1, 56124, Pisa, Italy

    Umberto Straccia

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© 2012 Springer-Verlag Berlin Heidelberg

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Hu, B., Patkos, T., Chibani, A., Amirat, Y. (2012). Rule-Based Context Assessment in Smart Cities. In: Krötzsch, M., Straccia, U. (eds) Web Reasoning and Rule Systems. RR 2012. Lecture Notes in Computer Science, vol 7497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33203-6_19

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  • DOI: https://doi.org/10.1007/978-3-642-33203-6_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33202-9

  • Online ISBN: 978-3-642-33203-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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