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GeoEtypes: Harmonizing Diversity in Geospatial Data (Short Paper)

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On the Move to Meaningful Internet Systems: OTM 2016 Conferences (OTM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10033))

Abstract

The open data community is becoming aware of the proliferation of data and its exponential growth in size related to various domains. Another important aspect of open data is diversity, where the focus lies on managing heterogeneous datasets. In this work, we propose a common data model for the geospatial domain to address the diversity of (open) geospatial data, which we name GeoEtypes. GeoEtypes has two components. The first is the GeoEtypes Schema which provides a unified schema, while the second, named GeoEtypes Voc, is an aggregation for the vocabulary of terms. The idea behind this vocabulary is to provide natural language description of all terms used in the schema to make the model self-sufficient. GeoEtypes is constituted as a formalisation of INSPIRE, the European directive on spatial data. The model has been evaluated on three global datasets as well as on a local dataset with the main purpose to validate its adaptability to diversity.

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Notes

  1. 1.

    http://ckan.org.

  2. 2.

    http://protege.stanford.edu version5.0.

  3. 3.

    The complete ontology is available at http://webprotege.stanford.edu/#Edit:projectId=f5f2c273-9f6a-4d4b-af7b-451166f58286.

  4. 4.

    https://wordnet.princeton.edu.

  5. 5.

    http://www.illc.uva.nl/EuroWordNet/.

  6. 6.

    http://www.geonames.org/.

  7. 7.

    http://opendata-demo.disi.unitn.it:34500/ep/.

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Acknowledgments

This work was supported by a grant from the European Commission’s Erasmus Mundus India4EU II and SmartSociety, under grant agreement no. 600854.

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Authors and Affiliations

  1. ICT-Doctoral School, University of Trento, 38123, Trento, Povo, Italy

    Subhashis Das & Fausto Giunchiglia

Authors
  1. Subhashis Das
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  2. Fausto Giunchiglia
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Correspondence to Subhashis Das .

Editor information

Editors and Affiliations

  1. ADAPT Centre, Trinity College Dublin, Dublin 2, Ireland

    Christophe Debruyne

  2. University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  3. TU Graz, Graz, Austria

    Robert Meersman

  4. La Trobe University, Melbourne, Australia

    Tharam Dillon

  5. Institute of Computer Languages, TU Wien, Vienna, Austria

    eva Kühn

  6. ADAPT Centre, Trinity College Dublin, Dublin 2, Ireland

    Declan O'Sullivan

  7. Università degli Studi di Milano Crema, Crema, Italy

    Claudio Agostino Ardagna

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Das, S., Giunchiglia, F. (2016). GeoEtypes: Harmonizing Diversity in Geospatial Data (Short Paper). In: Debruyne, C., et al. On the Move to Meaningful Internet Systems: OTM 2016 Conferences. OTM 2016. Lecture Notes in Computer Science(), vol 10033. Springer, Cham. https://doi.org/10.1007/978-3-319-48472-3_38

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  • DOI: https://doi.org/10.1007/978-3-319-48472-3_38

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-48472-3

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