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Ontology of Geographic Representation

Ontology of Geographic Representation. Kejin Cui Department of Geography University at Buffalo. Introduction. Existed geographic ontology Lack ontology to analyze spatial data models There are no links between geographic entities and spatial data models

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Ontology of Geographic Representation

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  1. Ontology of Geographic Representation Kejin Cui Department of Geography University at Buffalo

  2. Introduction • Existed geographic ontology • Lack ontology to analyze spatial data models • There are no links between geographic entities and spatial data models • Existed research on spatial data models • Lack exploration from perspective of ontology

  3. Overall structure Data models Geographic entities Geographic events

  4. Field & Object Models Geo-field: Continuous Geo-object: Discrete

  5. Primitives: Geo-atoms (Goodchild, 2007) Definition: <x, Z, Z(x)>

  6. Geo-field

  7. 6 categories of geo-fields (Goodchild,1993) F3 F1 F2 F4 F5 F6

  8. Geo-object • Four basic elements: Point, Line, Area, Spatio-Temporal_Object • 3 dimensions to describe dynamic geo-objects (Goodchild,2007): • Movement: Moving VS Stationary • Geometry: Dynamic VS Static • Internal Structure: Evolving VS Rigid

  9. Geo-object

  10. The relationship between geo-field and geo-object • Object-fields (Cova and Goodchild, 2002) • Mapping each point in a field to an object • Example: Viewshed analysis • Field-objects (Yuan, 1999) • Representing the internal variation of the property Z in a geo-object • Example: Hurricane, wildfire

  11. Object fields (Cova and Goodchild, 2002)

  12. Linking geographic entities and data modelsNew object property: is_represented_by

  13. Ontology on representing geographic eventsExample: HurricaneState  Process  Event

  14. Future work • Some more details to be added • 6 categories of geo-fields • Geographic events • Representing scale effect • Spatial operation with data models (Occurrent) • Boundary analysis: extracting geo-objects from geo-fields

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