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Using Maps for Interlinking Geospatial Linked Data

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On the Move to Meaningful Internet Systems: OTM 2019 Conferences (OTM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11877))

Abstract

The creation of interlinks between Linked Data datasets is key to the creation of a global database. One can create such interlinks in various ways: manually, semi-automatically, and automatically. While quite a few tools exist to facilitate this process in a (semi-)automatic manner, often with support for geospatial data. It is not uncommon that interlinks need to be created manually, e.g., when interlinks need to be authoritative. In this study, we focus on the manual interlinking of geospatial data using maps. The State-of-the-Art uses maps to facilitate the search and visualization of such data. Our contribution is to investigate whether maps are useful for the creation of interlinks. We designed and developed such a tool and set up an experiment in which 16 participants used the tool to create links between different Linked Data datasets. We not only describe the tool but also analyze the data we have gathered. The data suggests the creation of these interlinks from these maps is a viable approach. The data also indicate that people had a harder time dealing with Linked Data principles (e.g., content negotiation) than with the creation of interlinks.

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Notes

  1. 1.

    https://www.w3.org/RDF/.

  2. 2.

    https://www.opengeospatial.org/standards/geosparql, last accessed June 2019. GeoSPARQL is a standardized geospatial extension of the SPARQL query language. The extension consists of a vocabulary, geospatial functions, and query transformation rules to related predicates to geospatial functions.

  3. 3.

    https://en.wikipedia.org/wiki/Well-known_text_representation_of_geometry, last accessed June 2019.

  4. 4.

    https://www.opengeospatial.org/standards/gml, last accessed July 2019.

  5. 5.

    https://github.com/GeoKnow/Facete, last accessed June 2019.

  6. 6.

    https://github.com/GeoKnow/Facete2, last accessed June 2019.

  7. 7.

    http://www.cs.ox.ac.uk/isg/tools/SemFacet/, last accessed June 2019.

  8. 8.

    https://leafletjs.com/, last accessed June 2019.

  9. 9.

    http://arthur-e.github.io/Wicket/, last accessed June 2019.

  10. 10.

    https://www.w3.org/TR/prov-o/, last accessed June 2019.

  11. 11.

    https://github.com/dieterroosens/LinkedDataApplication.

  12. 12.

    https://jena.apache.org/, last accessed June 2019.

  13. 13.

    https://www.youtube.com/watch?v=zeYfT1cNKQg, until 5’45”.

  14. 14.

    https://www.geonames.org/, last accessed July 2019.

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Acknowledgements

Debruyne and McGlinn are funded by the ADAPT Centre for Digital Content Technology, which is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.

Author information

Authors and Affiliations

  1. WISE Lab, Vrije Universiteit Brussel, Brussels, Belgium

    Dieter Roosens & Christophe Debruyne

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

    Kris McGlinn & Christophe Debruyne

Authors
  1. Dieter Roosens
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  2. Kris McGlinn
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  3. Christophe Debruyne
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Corresponding author

Correspondence to Christophe Debruyne .

Editor information

Editors and Affiliations

  1. University of Lorraine, Vandoeuvre Les Nancy Cedex, France

    Hervé Panetto

  2. Trinity College Dublin, Dublin, Ireland

    Christophe Debruyne

  3. Universität der Bundeswehr München, Munich, Germany

    Martin Hepp

  4. Trinity College Dublin, Dublin, Ireland

    Dave Lewis

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

    Claudio Agostino Ardagna

  6. TU Graz, Graz, Austria

    Robert Meersman

A. PSSUQ Questionnaire

A. PSSUQ Questionnaire

  1. 1.

    Overall, I am satisfied with how easy it is to use this system

  2. 2.

    It was simple to use this system

  3. 3.

    I could effectively complete the tasks and scenarios using this system

  4. 4.

    I was able to complete the tasks and scenarios quickly using this system

  5. 5.

    I was able to efficiently complete the tasks and scenarios using this system

  6. 6.

    I felt comfortable using this system

  7. 7.

    It was easy to learn to use this system

  8. 8.

    I believe I could become productive quickly using this system

  9. 9.

    The system gave error messages that clearly told me how to fix problems

  10. 10.

    Whenever I made a mistake using the system, I could recover easily and quickly

  11. 11.

    The information (such as on-line help, on-screen messages, and other documentation) provided with this system was clear

  12. 12.

    It was easy to find the information I needed

  13. 13.

    The information provided for the system was easy to understand

  14. 14.

    The information was effective in helping me complete the tasks and scenarios

  15. 15.

    The organization of information on the system screens was clear

  16. 16.

    The interface of this system was pleasant

  17. 17.

    I liked using the interface of this system

  18. 18.

    This system has all the functions and capabilities I expect it to have

  19. 19.

    Overall, I am satisfied with this system

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Roosens, D., McGlinn, K., Debruyne, C. (2019). Using Maps for Interlinking Geospatial Linked Data. In: Panetto, H., Debruyne, C., Hepp, M., Lewis, D., Ardagna, C., Meersman, R. (eds) On the Move to Meaningful Internet Systems: OTM 2019 Conferences. OTM 2019. Lecture Notes in Computer Science(), vol 11877. Springer, Cham. https://doi.org/10.1007/978-3-030-33246-4_14

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  • DOI: https://doi.org/10.1007/978-3-030-33246-4_14

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