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A Rule Based Personalized Location Information System for the Semantic Web

  • Conference paper
E-Commerce and Web Technologies (EC-Web 2013)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 152))

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Abstract

In this paper, an innovative Personalized Location Information System for the Semantic Web (called SPLIS) is presented. The proposed system adopts schema.org ontology and combines it with rule-based policies, to deliver fully contextualized information to the user of a location-based system. Owners of points of interest can add their own rule-based policies to SPLIS to expose and deploy their marketing strategy on special offers, discounts, etc. These rules are combined at run-time with information about relevant place properties and user (people) profiles. Additionally, owners of points of interest can extend the ontology by adding dynamically specific properties. Rules are encoded in RuleML for interchangeability and to Jess in order to be executed. All data and rules are stored in the form of triples, using Sesame. Rules are evaluated on-the-fly to deliver personalized information according to the rules that fired within the current user-location-time context. In the paper, a demonstration of SPLIS is given using data from Google Places API and Google map for visualization.

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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. Institute of Software Technology and Interactive Systems, , Business Informatics Group (BIG), Vienna University of Technology, Favoritenstrasse 9 - 11 / 188-3, 1040, Vienna, Austria

    Christian Huemer

  2. Dipartimento di Informatica, Università di Bari, Via E. Orabona, 4, I70126, Bari, Italy

    Pasquale Lops

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Viktoratos, I., Tsadiras, A., Bassiliades, N. (2013). A Rule Based Personalized Location Information System for the Semantic Web. In: Huemer, C., Lops, P. (eds) E-Commerce and Web Technologies. EC-Web 2013. Lecture Notes in Business Information Processing, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39878-0_3

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  • DOI: https://doi.org/10.1007/978-3-642-39878-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39877-3

  • Online ISBN: 978-3-642-39878-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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