ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 173-178, 2015
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W5/173/2015/
doi:10.5194/isprsannals-II-3-W5-173-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
19 Aug 2015
A REPRESENTATION-DRIVEN ONTOLOGY FOR SPATIAL DATA QUALITY ELEMENTS, WITH ORTHOIMAGERY AS RUNNING EXAMPLE
J.-F. Hangouët Institut National de l’Information Géographique et Forestière, DPR/SCOP, Saint-Mandé, France
Keywords: Spatial data quality concepts, Spatial data quality components, Representation, Semiotics, Orthoimagery Abstract. The many facets of what is encompassed by such an expression as “quality of spatial data” can be considered as a specific domain of reality worthy of formal description, i.e. of ontological abstraction. Various ontologies for data quality elements have already been proposed in literature. Today, the system of quality elements is most generally used and discussed according to the configuration exposed in the “data dictionary for data quality” of international standard ISO 19157. Our communication proposes an alternative view. This is founded on a perspective which focuses on the specificity of spatial data as a product: the representation perspective, where data in the computer are meant to show things of the geographic world and to be interpreted as such. The resulting ontology introduces new elements, the usefulness of which will be illustrated by orthoimagery examples.
Conference paper (PDF, 4930 KB)


Citation: Hangouët, J.-F.: A REPRESENTATION-DRIVEN ONTOLOGY FOR SPATIAL DATA QUALITY ELEMENTS, WITH ORTHOIMAGERY AS RUNNING EXAMPLE, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 173-178, doi:10.5194/isprsannals-II-3-W5-173-2015, 2015.

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