Abstract
Urban planning data are of big importance to both general public and domain experts like civil engineers, architects or urban planning specialists. Typically, the data are scattered within many datasets containing both geographical knowledge and taxonomical knowledge. Features representing same objects in two different datasets often do not have any connection except geometry. Complex queries over multiple datasets are rather complicated and data have to be preformed, due to the distributed nature of such data, as well as their complexity. We present a case study on ontology modeling of urban planning data of the City of Prague. We discuss the ontological and spatial nature of the domain, followed by the design and formalization of the context-sensitive Urban ontology together with GeoSPARQL queries showing the usage of the ontology for dataset exploration and data search.
Published Version
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