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A Land Use Planning Ontology: LBCS

DOI: 10.3390/fi4010065

Keywords: urban ontology, OWL2, land use planning, urban development process, CIM

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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.

References

[1]  Harvey, D. Social Justice and the City; University of Georgia Press: Athens, GA, USA, 2009; pp. 79–87.
[2]  Montenegro, N.; Duarte, J.P. Computational Ontology of Urban Design. In Proceedings of the 27th Conference on Education in Computer Aided Architectural Design in Europe (eCAADe ’09), Istanbul, Turkey, 16–19 September 2009; pp. 253–260.
[3]  Duarte, J.P.; Beir?o, J.N.; Montenegro, N.; Gil, J. City Induction: Formulating, Generating, and Evaluating Urban Plans. In Digital Urban Modelling and Simulation. Communications in Computer and Information Science (CCIS); Müller Arisona, S., Wonka, P., Aschwanden, G., Halatsch, J., Eds.; Springer: Berlin, Heidelberg, Germany, 2011; Volume 242. in press.
[4]  American Planning Association. Land Based Classification System. 1999. Available online: http://www.planning.org/lbcs/ (accessed on 6 February 2011).
[5]  Berners–Lee, T.; Hendler, J.; Lassila, O. The Semantic Web. In Scientific American; 2001; pp. 96–101.
[6]  Protégé. Stanford Medical Informatics. 2005. Available online: http://protege.stanford.edu (accessed on 28 December 2011).
[7]  OWL 2 Web Ontology Language Document Overview. 2010. Available online: http://www.w3.org/TR/owl2-overview/ (accessed on 10 February 2011).
[8]  Montenegro, N.; Gomes, J.; Urbano, P.; Duarte, J.P. 4CitySemantics: GIS-Semantic Tool for Urban Intervention Areas. In Proceedings of the 7th Virtual Cities and Territories Conference (7VCT), Lisbon, Portugal, 11–13 October 2011; pp. 549–554.
[9]  Rinner, C. Argumentation Mapping in Collaborative Spatial Decision Making. In Collaborative Geographic Information Systems; Dragicevic, S., Balram, S., Eds.; Idea Group Publishing: Hershey, PA, USA, 2006; pp. 85–102.
[10]  Teller, J. Ontologies for an improved communication in urban development projects. Ontol. Urban Dev. 2007, 61, 1–14, doi:10.1007/978-3-540-71976-2_1.
[11]  Ekholm, A. ISO 12006-2 and IFC–Prerequisites for coordination of standards for classification and interoperability. J. Inf. Technol. Constr. 2005, 10, 275–289.
[12]  Roussey, C.; Laurini, R.; Beaulieu, C.; Tardy, Y.; Zimmermann, M. Le projet Towntology: Un retour d’expérience pour la construction d’une ontologie urbaine. Rev. Int. Géomat. 2004, 14, 217–237.
[13]  Benslimane, D.; Leclercq, E.; Savonnet, M.; Terrasse, M.N.; Yétongnon, K. On the definition of generic multi-layered ontologies for urban applications. Comput. Environ. Urban Syst. 2000, 24, 191–214, doi:10.1016/S0198-9715(99)00059-9.
[14]  Schevers, H.A.J.; Trinidad, G.; Drogemuller, R.M. Towards integrated assessments for urban development. J. Inf. Technol. Constr. 2006, 11S, 225–236.
[15]  HarmonISA—Harmonisation of Land-Use Data. 2006. Available online: http://harmonisa.uni-klu.ac.at/content/harmonisa-harmonisation-land-use-data (accessed on 20 February 2011).
[16]  Hall, M. A Semantic Similarity Measure for Formal Ontologies (With an Application to Ontologies of a Geographic Kind). M.S. Thesis, University of Klagenfurt, Klagenfurt, Austria, March 2006.
[17]  Teller, J.; Billen, R.; Cutting-Decelle, A.-F. Editorial–bringing urban ontologies into practice. ITcon 2010, 15S, 108–110.
[18]  Kolbe, T.; Gr?ger, G.; Plümer, L. CityGML: Interoperable Access to 3D City Models. In Proceedings of the International Symposium on Geo-information for Disaster Management, Delft, The Netherlands, 21–23 March 2005; pp. 883–899.
[19]  Lorenz, B.; Ohlbach, H.J.; Yang, L. Ontology of Transportation Networks. Rewerse-Del-2005 A1-D4. Available online: http://rewerse.net/deliverables/m18/a1-d4.pdf (accessed on 20 February 2011).
[20]  Métral, C.; Billen, R.; Cutting-Decelle, A.-F.; van Ruymbeke, M. Ontology-based approaches for improving the interoperability between 3D urban models. ITcon 2009, 15S, 169–184.
[21]  Karatsas, K.; Falquet, G.; Karatsas, K. Ontologies for the Integration of Air Quality Models and 3D City Models. Conceptual Models for Urban Practitioners. In Proceedings of the 2nd Workshop of the COST Action C21—Towntology Urban Ontologies for an Improved Communication in Urban Civil Engineering Projects Castello del Valentino, Turin, Italy, December 2008; Società Editrice Esculapio: Bologna, Italy, 2008; pp. 27–42.
[22]  Ban, H.; Ahlqvist, O. User evaluation of a software interface for geovisualization and communication of uncertain urban ontologies. ITcon 2010, 15S, 122–131.
[23]  Guyot, J.; Falquet, G.; Teller, J. Incremental development of a shared urban ontology: The Urbamet experience. ITcon 2010, 15S, 132–139.
[24]  Mounce, S.R.; Brewster, C.; Ashley, R.M.; Hurley, L. Knowledge management for more sustainable water systems. ITcon 2010, 15S, 140–148.
[25]  American Planning Association. Land Based Classification System. Available online: http://www.planning.org/lbcs (accessed on 5 January 2011).
[26]  Guttenberg, A. Multidimensional land use classification and how it evolved: Reflections on a methodological innovation in urban planning. J. Plan. Hist. 2002, 1, 4311–4324.
[27]  Allemang, D.; Hendler, J. Semantic Web for the Working Ontologist (Effective Modelling in RDFS and OWL); Morgan Kaufmann, Elsevier: Boston, MA, USA, 2008.
[28]  Land Based Classification Standards: LBCS Tables. Available online: http://www.planning.org/lbcs/standards/pdf/InOneFile.pdf (accessed on 5 January 2011).
[29]  The OWL-API. Available online: http://owlapi.sourceforge.net/ (accessed on 28 December 2011).
[30]  Real Estate Glossary, provided by the Real Estate Institute of Australia. Available online: http://www.honorbaxter.com.au/pmornington-peninsula-real-estate.html (accessed on 9 November 2011).
[31]  National Land Use Database: Land Use and Land Cover Classification. Available online: http://www.communities.gov.uk/documents/planningandbuilding/pdf/144275.pdf (accessed on 16 February 2011).
[32]  LBCS Implementation. Available online: http://www.planning.org/lbcs/implementation/ (accessed on 5 February 2011).

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