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Situation Awareness for Push-Based Recommendations in Mobile Devices

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Business Information Systems (BIS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 255))

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Abstract

The paper presents an innovative architecture for push-based Context-aware Recommendation Systems (CARS) that integrates different description and reasoning approaches. Complex Event Processing (CEP) is applied on live data to provide situation awareness. Ontologies and semantic rules are used to define domain expertise that allow individualized and domain-specific recommendations. A case study of a museum serves as a proof of concept of the approach.

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Notes

  1. 1.

    Beacons are sensors that send continuously an unique ID, which can be used by smartphones for indoor localization.

  2. 2.

    https://jena.apache.org.

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Acknowledgments

This work has been supported by the projects DGA-FSE, EU-COST Action IC1302 and TIN2015-65515-C4-4-R.

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Authors and Affiliations

  1. University of Zaragoza, Zaragoza, Spain

    Ramón Hermoso

  2. Hannover University of Applied Sciences and Arts, Hannover, Germany

    Jürgen Dunkel & Jan Krause

Authors
  1. Ramón Hermoso
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  2. Jürgen Dunkel
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  3. Jan Krause
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Corresponding author

Correspondence to Ramón Hermoso .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Poznan Univ of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. Institut für Wirtschaftsinformatik, Universität Leipzig, Leipzig, Sachsen, Germany

    Rainer Alt

  3. Information System Institute, University of Leipzig, Leipzig, Germany

    Bogdan Franczyk

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Hermoso, R., Dunkel, J., Krause, J. (2016). Situation Awareness for Push-Based Recommendations in Mobile Devices. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems. BIS 2016. Lecture Notes in Business Information Processing, vol 255. Springer, Cham. https://doi.org/10.1007/978-3-319-39426-8_10

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