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Semantic Models for the Geological Mapping Process

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AI*IA 2017 Advances in Artificial Intelligence (AI*IA 2017)

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Abstract

The geologic mapping process requires the organization of data according tothe general knowledge about the objects in the map, namely the geologic units, and tothe objectives of a graphic representation of such objects in a map, following some established model of geotectonic evolution. Semantics can greatly help such a process in providing a terminological base to name and classify the objects of the map and supporting the application of reasoning mechanisms for the derivation of novel properties and relations about the objects of the map.

The OntoGeonous initiative has built a terminological base of geological knowledge in a machine-readable format, following the Semantic Web tenets and the Linked Data paradigm, with the construction of an appropriate data base schema that can be then filled with the objects of the map. The paper will present the conceptual model of the geologic system and how the elements of the cartographic database are classified from general definitions. Also, the paper addresses the setup of web-based services that respond to queries concerning the properties of the map elements that are not explicitly asserted in the underlying data base, but are inferred through a reasoning process.

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Notes

  1. 1.

    Commission for the Management and Application of Geoscience Information (CGI) of the International Union of Geological Sciences (IUGS).

  2. 2.

    An operative simplification of GeoSciML, published by INSPIRE Thematic Working Group Geology of the European Commission.

  3. 3.

    https://www.di.unito.it/wikigeo/.

  4. 4.

    http://arpapiemonte.maps.arcgis.com/apps/webappviewer/index.html?id=fff173266afa4f6fa206be53a77f6321.

  5. 5.

    http://www.geongrid.org/.

  6. 6.

    http://www.opentopography.org/.

  7. 7.

    https://www.researchgate.net/publication/234183449_AuScope’s_use_of_Standards_to_Deliver_Earth_Resource_Data.

  8. 8.

    https://www.vsto.org.

  9. 9.

    http://www.spase-group.org/.

  10. 10.

    http://portal.onegeology.org/OnegeologyGlobal/.

  11. 11.

    http://taxonconcept.stratigraphy.net/.

  12. 12.

    http://usgin.org/.

  13. 13.

    Version 4.0 (2015), http://www.geosciml.org.

  14. 14.

    D2.8.II.4 INSPIRE Data Specification on Geology – Technical Guidelines v. 3.0. (10.12.2013) ( http://inspire.jrc.ec.europa.eu/documents/Data_Specifications/INSPIRE_DataSpecification_GE_v3.0.pdf).

  15. 15.

    https://sweet.jpl.nasa.gov/.

  16. 16.

    http://resource.geosciml.org/vocabulary/cgi/201211/.

  17. 17.

    http://resource.geosciml.org/vocabulary/cgi/201211/simplelithology.rdf.

  18. 18.

    Available at the URL https://jena.apache.org.

  19. 19.

    http://www.hermit-reasoner.com.

  20. 20.

    http://owlapi.sourceforge.net.

  21. 21.

    https://www.di.unito.it/wikigeo/.

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Acknowledgements

We, the authors acknowledge a grant (direct beneficiary Dario Mimmo) for the Lagrange Project - CRT Foundation/ISI Foundation. We also thank Rossana Damiano, Claudio Mattutino, Simone Donetti, and the Technical Staff of the Computer Science Department of the University of Turin gave us support in the setup of the wiki and the semantic server. We thank ARPA Piemonte for the collaboration on the implementation of the application interface with the semantic server (http://webgis.arpa.piemonte.it/Geoviewer2D).

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Lombardo, V., Piana, F., Mimmo, D., Mensa, E., Radicioni, D.P. (2017). Semantic Models for the Geological Mapping Process. In: Esposito, F., Basili, R., Ferilli, S., Lisi, F. (eds) AI*IA 2017 Advances in Artificial Intelligence. AI*IA 2017. Lecture Notes in Computer Science(), vol 10640. Springer, Cham. https://doi.org/10.1007/978-3-319-70169-1_22

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