This paper describes the "Land Based Classification Standards" (LBCS) OWL2 ontology used as a basic structure for the "City Information Modelling" (CIM) model developed within a larger research project aimed at developing a tool for urban planning and design. The main purpose is to provide semantic and computer-readable land use descriptions of geo-referenced spatial data, to make available programming strategies and design options to the participants of the urban development process. There are several advantages of transferring a Land use standard into a OWL2 land use ontology: it is modular, it can be shared and reused, it can be extended and data consistency can be checked, it is ready to be integrated, supporting the interoperability of different urban planning applications. © 2011 Springer-Verlag.
CITATION STYLE
Montenegro, N., Gomes, J., Urbano, P., & Duarte, J. (2011). An OWL2 land use ontology: LBCS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6783 LNCS, pp. 185–198). https://doi.org/10.1007/978-3-642-21887-3_15
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