Abstract
Urban planning has a considerable impact on the economic performance of cities and on the quality of life of their populations. Efficiency at this level has been hampered by the lack of integrated tools to adequately describe urban space in order to formulate appropriate design solutions. This paper describes an ontology called LBCS-OWL2 specifically developed to overcome this flaw, based on the Land Based Classification Standards (LBCS), a comprehensive and detailed land use standard to describe the different dimensions of urban space. The goal is to provide semantic and computer-readable land use descriptions of geo-referenced spatial data. This will help to make programming strategies available to those involved in the urban development process. There are several advantages to transferring a land use standard to an OWL2 land use ontology: it is modular, it can be shared and reused, it can be extended and data consistency maintained, and it is ready for integration, thereby supporting the interoperability of different urban planning applications. This standard is used as a basic structure for the “City Information Modelling” (CIM) model developed within a larger research project called City Induction, which aims to develop a tool for urban planning and design.
Highlights
Any territory has potential that must be recognised and used for the benefit of its population.Through adequate spatial planning, it is possible to prevent the waste of territorial resources whilst maximising satisfaction of the population’s needs
The article is organised as follows: related work is discussed in Section 2; the Land Based Classification Standards (LBCS) land use standard is described in Section 3; Section 4 is dedicated to the presentation of LBCS-OWL2, which constitutes the backbone of the City Information Modelling (CIM), enabling semantic and computer-readable descriptions of geo-referenced spatial data to be developed; Section 5 exemplifies the use of the LBCS-OWL
The results of mapping the LBCS standard into an ontology seem to be promising. Those involved in urban development processes may identify and classify parcels of an intervention site and semantically annotate them with knowledge regarding the use of the land
Summary
Any territory has potential that must be recognised and used for the benefit of its population. One of the core goals of the City Information Modelling (CIM) model [2] developed within the City Induction project [3] is to provide a tool for manipulating land use knowledge to benefit such plans. The article is organised as follows: related work is discussed in Section 2; the LBCS land use standard is described in Section 3; Section 4 is dedicated to the presentation of LBCS-OWL2, which constitutes the backbone of the CIM, enabling semantic and computer-readable descriptions of geo-referenced spatial data to be developed; Section 5 exemplifies the use of the LBCS-OWL ontology, together with an illustration of the inference and querying capabilities provided by OWL2 formal semantics; Section 6 describes how data can be transferred from LBCS relational databases, or from other land use systems such as the NLUD standard, to the LBCS ontology proposed here; and Sections 7 and 8 summarise the results and present the conclusion. A shorter version of this paper was initially published in [8]
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