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A Modular Data Infrastructure for Location-Based Services

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Advances in Conceptual Modeling – Challenges and Opportunities (ER 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5232))

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Abstract

Knowledgable Location-based Services (LBS) aim at enab- ling mobile users to specify their requests and profiles on the move and providing them with context-aware and personalized local information relevant to their current activity and request. Therefore, it opens up new challenges in data infrastructure, knowledge representations and data management etc. In this paper, firstly we will discuss the characteristics of LBS in terms of data management, and then present our data architecture. Finally, we will explain how the knowledge is incrementally set up and maintained in a modular manner.

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Author information

Authors and Affiliations

  1. Database Laboratory, I&C, EPFL, Switzerland

    Shijun Yu & Stefano Spaccapietra

Authors
  1. Shijun Yu
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  2. Stefano Spaccapietra
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Editor information

Editors and Affiliations

  1. College of Information Science and Technology, Drexel University, USA

    Il-Yeol Song

  2. Dep. of Information Technologies & Systems - Escuela Superior de Informática, University of Castilla-La Mancha, Alarcos Research Group- Institute of Information Technologies & Systems, Ciudad Real, Spain

    Mario Piattini

  3. School of Engineering and Information Technology, Deakin University, 221 Burwood Highway, Vic, 3125, Australia

    Yi-Ping Phoebe Chen

  4. Clausthal University of Technology, Julius-Albert-Str. 4, 38678, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  5. Dipartimento di Elettronica, Informatica e Sistemistica, Alma Mater Studiorum – Università di Bologna, P.O. Box, Italy

    Fabio Grandi

  6. Department of Software and Computing Systems, University of Alicante, Spain

    Juan Trujillo

  7. Department of Information Science and Media Studies, University of Bergen, Fosswinckelsgate 6, 5007, Bergen, Norway

    Andreas L. Opdahl

  8. Istituto di Ricerche sulla Popolazione e Politiche Sociali, CNR, Via Nizza 128, 00198, Roma, Italy

    Fernando Ferri  & Patrizia Grifoni  & 

  9. IRPPS-CNR, Rome, Italy

    Maria Chiara Caschera

  10. Universit Paris1 Panthon Sorbonne, CRI, 90 Rue de Tolbiac, 75013, Paris

    Colette Rolland

  11. Portland State University, USA; Indiana University, USA University of British Columbia, Canada; Hill-Rom Company, USA University of British Columbia, Canada; Deloitte Consulting, P.O. Box, USA

    Carson Woo

  12. Centre de Recherche en Informatique, Université Paris 1 Panthéon-Sorbonne, 90 rue de Tolbiac, 75013, Paris

    Camille Salinesi

  13. Université Libre de Bruxelles, Belgium

    Esteban Zimányi

  14. Naval Academy Research Institute, Brest Naval, France

    Christophe Claramunt

  15. Technische Universiteit Eindhoven, PO Box 513, NL-5600 MB, Eindhoven, The Netherlands

    Flavius Frasincar

  16. Technische Universiteit Eindhoven, P.O. Box 513, NL 5600 MB, Eindhoven, The Netherlands

    Geert-Jan Houben

  17. IMRU-FUNDP, University of Namur, Namur, Belgium

    Philippe Thiran

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© 2008 Springer-Verlag Berlin Heidelberg

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Yu, S., Spaccapietra, S. (2008). A Modular Data Infrastructure for Location-Based Services. In: Song, IY., et al. Advances in Conceptual Modeling – Challenges and Opportunities. ER 2008. Lecture Notes in Computer Science, vol 5232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87991-6_43

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  • DOI: https://doi.org/10.1007/978-3-540-87991-6_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87990-9

  • Online ISBN: 978-3-540-87991-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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