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Abstract
Semantic ontologies are examined as effective data models for the representation of complex topographic feature types. Complex feature types are viewed as integrated relations between basic features for a basic purpose. In the context of topographic science, such component assemblages are supported by resource systems and found on the local landscape. Ontologies are organized within six thematic modules of a domain ontology called Topography that includes within its sphere basic feature types, resource systems, and landscape types. Context is constructed not only as a spatial and temporal setting, but a setting also based on environmental processes. Types of spatial relations that exist between components include location, generative processes, and description. An example is offered in a complex feature type ‘mine.’ The identification and extraction of complex feature types are an area for future research.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Complex Topographic Feature Ontology Patterns |
| Year Published | 2015 |
| Language | English |
| Contributing office(s) | Center for Geospatial Information Science (CEGIS) |
| Description | 5 p. |
| Larger Work Type | Conference Paper |
| Larger Work Title | Proceeding of ASPRS/CaGIS 2010 Fall Specialty Conference |
| Conference Title | ASPRS/CaGIS 2010 Fall Specialty Conference |
| Conference Location | Orlando, Florida |
| Conference Date | November 15-19, 2010 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |