Abstract
A landform is a subjective individuation of a part of a terrain. Landform recognition is a difficult task because its definition usually relies on a qualitative and fuzzy description. Achieving automatic recognition of landforms requires a formal definition of the landforms properties and their modelling. In the maritime domain, the International Hydrographic Organisation published a standard terminology of undersea feature names which formalises a set of definition mainly for naming and communication purpose. This terminology is here used as a starting point for the definition of an ontology of undersea features and their automatic classification from a terrain model. First, an ontology of undersea features is built. The ontology is composed of an application domain ontology describing the main properties and relationships between features and a representation ontology deals with representation on a chart where features are portrayed by soundings and isobaths. A database model was generated from the ontology. Geometrical properties describing the feature shape are computed from soundings and isobaths and are used for feature classification. An example of automatic classification on a nautical chart is presented and results and on-going research are discussed.
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References
Mark, D.M., Smith, B.: A science of topography: From qualitative ontology to digital representations. In: Bishop, M.P., Shroder, J.F. (eds.) Geographic Information Science and Mountain Geomorphology, pp. 75–100. Praxis Publishing (2004)
International Hydrographic Organization: Standardization of undersea feature names, 4th edn. International Hydrographic Bureau, Monaco (2008)
Chaudhry, O., Mackaness, W.: Creating mountains out of mole hills: Automatic identification of hills and ranges using morphometric analysis. Transactions in GIS 12(5), 567–589 (2008)
Smith, B., Mark, D.M.: Do mountains exist? towards an ontology of landforms. Environment and Planning B: Planning and Design 30(3) (2003)
Gómez-Pérez, A., Ramos, J., Rodríguez-Pascual, A., Vilches-Blázquez, L.: The IGN-E case: Integrating through a hidden ontology. In: Ruas, A., Gold, C. (eds.) Headway in Spatial Data Handling, pp. 417–435. Springer (2008)
Straumann, R.K., Purves, R.S.: Computation and elicitation of valleyness. Spatial cognition and computation 11(2), 178–204 (2011)
Feng, C.C., Bittner, T.: Ontology-based qualitative feature analysis: Bays as a case study. Transactions in GIS 14(4), 547–568 (2010)
Duce, S.: Towards an ontology for reef islands. In: Janowicz, K., Raubal, M., Levashkin, S. (eds.) GeoS 2009. LNCS, vol. 5892, pp. 175–187. Springer, Heidelberg (2009)
Bittner, T., Donnelly, M., Winter, S.: Ontology and semantic interoperability. In: Large-Scale 3D Data Integration, pp. 139–160 (2005)
Fonseca, F.T.: Ontology-driven geographic information systems. PhD thesis, The University of Maine (2001)
Yan, J., Guilbert, E., Saux, E.: An ontology of the submarine relief for analysis and representation on nautical charts. The Cartographic Journal (to appear)
National Oceanic and Atmospheric Administration, U.S. Department of Commerce: Nautical Chart User’s Manual (1997)
Service Hydrographique et Océanographique de la Marine: Etude d’aide à la préparation des cartes marines – étude de faisabilité: Partie 2 Conception détaillée des traitements (1995)
Guilbert, E.: Multi-level representation of terrain features on a contour map. Geoinformatica 17(2), 301–324 (2013)
Bittner, T.: Vagueness and the trade-off between the classification and delineation of geographic regions: an ontological analysis. International Journal of Geographical Information Science 25(5), 825–850 (2011)
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Yan, J., Guilbert, E., Saux, E. (2014). An Ontology for Submarine Feature Representation on Charts. In: Parsons, J., Chiu, D. (eds) Advances in Conceptual Modeling. ER 2013. Lecture Notes in Computer Science, vol 8697. Springer, Cham. https://doi.org/10.1007/978-3-319-14139-8_11
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DOI: https://doi.org/10.1007/978-3-319-14139-8_11
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