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A Reference Landform Ontology for Automated Delineation of Depression Landforms from DEMs

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Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017) (COSIT 2017)

Abstract

This reference landform ontology is intended to guide automated delineation of landforms from digital elevation models (DEMs) and semantic information retrieval about landforms. Since only form related information is available from DEMs, the categories of this reference ontology are defined based only on morphological criteria. The choice of the landform categories is informed by ethnophysiographic and spatial cognition research. The proposed taxonomy is work in progress and reflects the current focus on automated delineation and mapping of depression landforms (e.g., basins, valleys and canyons).

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References

  • Brodaric B, Hahmann T, Gruninger M (2017) Water features and their parts. Manuscript submitted to applied ontology

    Google Scholar 

  • Casati R, Varzi AC (1994) Holes and other superficialities. MIT Press

    Google Scholar 

  • Hahmann T, Brodaric B (2012) The void in hydro ontology.In: Proceedings of formal ontology in information systems (FOIS 2012). IOS Press, pp 45–58

    Google Scholar 

  • Mark DM, Turk AG (2003) Landscape categories in yindjibarndi: ontology, environment, and language. LNCS 2825. Springer, Berlin, Heidelberg, pp 28–45

    Google Scholar 

  • Mark DM, Turk AG, Stea D (2007) Progress on yindjibarndi ethnophysiography. In: Proceedings of the 8th international conference on spatial information theory (COSIT’07) LNCS 4736. Springer,Verlag, pp 1–19

    Google Scholar 

  • Sinha G, Mark DM, Kolas D, Varanka D, Romero BE, Feng C.C, Usery LE, Liebermann J, Sorokine A (2014) An ontology design pattern for surface water features. In: Proceedings of the 8th international conference on geographic information science GIScience (LNCS 8728). International Publishing, Springer, Switzerland, pp 187–203

    Google Scholar 

  • Sinha G, Kolas D, Mark DM, Romero BE, Usery LE, Berg-Cross G, Padmanabhan A (2017) Surface network ontology design patterns for linked topographic data. Revised manuscript to be submitted to Semantic Web

    Google Scholar 

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Correspondence to Gaurav Sinha .

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Sinha, G. et al. (2018). A Reference Landform Ontology for Automated Delineation of Depression Landforms from DEMs. In: Fogliaroni, P., Ballatore, A., Clementini, E. (eds) Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017). COSIT 2017. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-63946-8_23

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