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A Proposal for Situation-Aware Evacuation Guidance Based on Semantic Technologies

  • Conference paper
  • First Online:
Multi-Agent Systems and Agreement Technologies (EUMAS 2016, AT 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10207))

Abstract

Smart Cities require reliable means for managing installations that offer essential services to the citizens. In this paper we focus on the problem of evacuation of smart buildings in case of emergencies. In particular, we present a proposal for an evacuation guidance system that provides individualized evacuation support to people in case of emergencies. The system uses sensor technologies and Complex Event Processing to obtain information about the current situation of a building in each moment. Using semantic Web technologies, this information is merged with static knowledge (special user characteristics, building topology, evacuation knowledge) in order to determine (and dynamically update) the most appropriate individualized evacuation routes for each user.

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Notes

  1. 1.

    RDF syntax allows defining prefixes to ease IRIs readability. For example, rdf:type is the same as http://www.w3.org/1999/02/22-rdf-syntax-ns#type if we define prefix rdf = http://www.w3.org/1999/02/22-rdf-syntax-ns#. Here we use a default prefix (e.g. :Room).

  2. 2.

    RDF also includes the concept of blank node, but we prefer not to mention it in this paper for the sake of clarity.

  3. 3.

    Note that the beaconID is structured and includes, among other information, the ID of a certain section in the building.

  4. 4.

    jena.apache.org.

  5. 5.

    Note that this rule must be processed in a subsequent reasoning step for guaranteeing that all ‘not possible’ routes have already been found by the preceding rules.

  6. 6.

    SPARQL is a query language for RDF (https://www.w3.org/TR/sparql11-query/).

References

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Acknowledgments

Work partially supported by the Autonomous Region of Madrid (grant “MOSI-AGIL-CM” (P2013/ICE-3019) co-funded by EU Structural Funds FSE and FEDER, “SURF” (TIN2015-65515-C4-4-R (MINECO/FEDER)) funded by the Spanish Ministry of Economy and Competitiveness, and through the Excellence Research Group GES2ME (Ref. 30VCPIGI05) co-funded by URJC and Santander Bank.

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Authors and Affiliations

  1. CETINIA, University Rey Juan Carlos, Madrid, Spain

    Holger Billhardt, Alberto Fernández & Sascha Ossowski

  2. Computer Science Department, Hochschule Hannover, Hannover, Germany

    Jürgen Dunkel

  3. IA, Ecole des Mines de Douai, Douai, France

    Marin Lujak

  4. Department of Informatics and Systems Engineering, University of Zaragoza, Saragossa, Spain

    Ramón Hermoso

Authors
  1. Holger Billhardt
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  2. Jürgen Dunkel
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  3. Alberto Fernández
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  4. Marin Lujak
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  5. Ramón Hermoso
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  6. Sascha Ossowski
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Corresponding author

Correspondence to Holger Billhardt .

Editor information

Editors and Affiliations

  1. King’s College London, London, United Kingdom

    Natalia Criado Pacheco

  2. Polytechnic University of Valencia, Valencia, Portugal

    Carlos Carrascosa

  3. Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain

    Nardine Osman

  4. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián Inglada

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Billhardt, H., Dunkel, J., Fernández, A., Lujak, M., Hermoso, R., Ossowski, S. (2017). A Proposal for Situation-Aware Evacuation Guidance Based on Semantic Technologies. In: Criado Pacheco, N., Carrascosa, C., Osman, N., Julián Inglada, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2016 2016. Lecture Notes in Computer Science(), vol 10207. Springer, Cham. https://doi.org/10.1007/978-3-319-59294-7_40

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  • DOI: https://doi.org/10.1007/978-3-319-59294-7_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59293-0

  • Online ISBN: 978-3-319-59294-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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