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Personalizing Location Information through Rule-Based Policies

  • Conference paper
Rules on the Web: Research and Applications (RuleML 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7438))

Abstract

In this paper, the idea of providing personalized, location-based information services via rule-based policies is demonstrated. After a short introduction about related technologies and approaches, an innovative Personalized Location Information System (PLIS) is designed and implemented. PLIS delivers personalized and contextualized information to users according to rule-based policies. More specifically, many categories of points of interest (e.g. shops, restaurants) have rule-based policies to expose and deploy their marketing strategy on special offers, discounts, etc. PLIS evaluates these rules on-the-fly and delivers personalized information according to the user’s context and the corresponding rules fired within this context. After discussing the design and the implementation of PLIS, illustrative examples of PLIS functionality are presented. As a result, PLIS proves that combining contextual data and rules can lead to powerful personalized information services.

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Author information

Authors and Affiliations

  1. Department of Economics, Aristotle University of Thessaloniki, GR-54124, Thessaloniki, Greece

    Iosif Viktoratos & Athanasios Tsadiras

  2. Department of Informatics, Aristotle University of Thessaloniki, GR-54124, Thessaloniki, Greece

    Nick Bassiliades

Authors
  1. Iosif Viktoratos
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  2. Athanasios Tsadiras
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  3. Nick Bassiliades
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Editor information

Editors and Affiliations

  1. Department of Information Studies, University College London, Gower Street, WC1E 6BT, London, UK

    Antonis Bikakis

  2. Department of Databases and Information Systems, Brandenburg University of Technology at Cottbus, Walther Pauer Str. 2, 03046, Cottbus, Germany

    Adrian Giurca

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© 2012 Springer-Verlag Berlin Heidelberg

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Viktoratos, I., Tsadiras, A., Bassiliades, N. (2012). Personalizing Location Information through Rule-Based Policies. In: Bikakis, A., Giurca, A. (eds) Rules on the Web: Research and Applications. RuleML 2012. Lecture Notes in Computer Science, vol 7438. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32689-9_17

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  • DOI: https://doi.org/10.1007/978-3-642-32689-9_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32688-2

  • Online ISBN: 978-3-642-32689-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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