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Linked Spatial Data for Location-Aware Services

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Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services (UCAmI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8867))

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Abstract

Geospatial data and location-aware services are becoming more common in the last years. Mobile applications make an extensive use of the built-in GPS devices and platforms on the web offer spatial data through APIs and open datasets. This data has the potential to be used to build rich location based services when merged into a uniform dataset. This paper describes the SORELCOM platform, a GPS-based community where users can share trails and points of interest, which is enriched with knowledge obtained from different sources from the web and is able to offer location aware services.

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Authors
  1. Aimar Rodríguez
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  2. Eduardo Castillejo
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  3. Diego López-de-Ipiña
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Editor information

Editors and Affiliations

  1. Escuela Superior de Informática, Castilla Ly Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    Ramón Hervás

  2. Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, 446-701, Yongin-si, Gyeongi-do, Korea

    Sungyoung Lee

  3. Computer Science Research Institute, School of Computing and Mathematics, University of Ulster, Jordanstown Campus, Shore Road, BT37 0QB, Newtownabbey, UK

    Chris Nugent

  4. Escuela Superior de Informática, Castilla La Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    José Bravo

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© 2014 Springer International Publishing Switzerland

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Rodríguez, A., Castillejo, E., López-de-Ipiña, D. (2014). Linked Spatial Data for Location-Aware Services. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_38

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  • DOI: https://doi.org/10.1007/978-3-319-13102-3_38

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13101-6

  • Online ISBN: 978-3-319-13102-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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