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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Geo-Ontology-Based Object-Oriented Spatiotemporal Data Modeling
verfasst von : Jingwen Li, Yanyan Liang, Jizheng Wan
Erschienen in: Pervasive Computing and the Networked World
Verlag: Springer Berlin Heidelberg
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Spatiotempoal data model is fundamental to geospatial data representation, organization, analysis and applications. Due to the absence of geospatial semantic modeling and its logical structure, the spatiotemporal data may be interpreted mistakenly by other users or by other systems. For multi-purpose urban geospatial information development and sharing, spatial entities and their semantics should be modeled carefully. This paper presents strategy in geo-ontology-based object-oriented spatiotemporal data modeling to design a geospatial data model which can solve the problems of semantic conflict, and is ease of backtracking query and data sharing. A new approach is proposed to enterprise-level urban geospatial data integration, management and sharing. Modeling experiences show that it is easy to storage, manage and distribute spatiotemporal data for urban enterprise-level GIS applications in the network environment.