Paper
3 November 2008 Formal representation of geographic ontology and its application in map services
Author Affiliations +
Proceedings Volume 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments; 71430R (2008) https://doi.org/10.1117/12.812550
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
Geographic ontology is a very complex and intricate concept. As a philosophical concept, ontology has the most ambiguous meanings. In the paper, firstly the concept of geographic ontology is explored and the three meanings of geographic ontology are put forward: philosophy ontology, information ontology and spatial ontology. Then it introduces some ontology representation languages and concludes by suggesting OWL as the appropriate language for building geographic ontology. But geographic ontology is quite distinct from the general information ontology in that it should represent spatial properties as well as attribute properties. Unfortunately, OWL cannot describe spatial properties and spatial relations of geographic ontology because they are mainly for representing the general information ontology. It puts forward to build some formal axioms about spatial properties of geographic ontology by use of three theoretical tools: mereology, location theory and topology. With these axioms, we can formally represent geographic ontology with spatial properties. Finally, it shows how we can use geographic ontology to describe map services and to improve the quality of map services.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maojun Huang "Formal representation of geographic ontology and its application in map services", Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71430R (3 November 2008); https://doi.org/10.1117/12.812550
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Cited by 3 scholarly publications.
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KEYWORDS
Data modeling

Geographic information systems

Information science

Information fusion

Computer science

Databases

Geoinformatics

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