IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v4y2012i1p65-82d15569.html
   My bibliography  Save this article

A Land Use Planning Ontology: LBCS

Author

Listed:
  • Nuno Montenegro

    (Faculty of Architecture, Technical University of Lisbon (TULisbon), Rua Sá Nogueira, Pólo Universitário, Alto da Ajuda, Lisboa 1349-055, Portugal)

  • Jorge C. Gomes

    (Faculty of Sciences, University of Lisbon—LabMag (FCUL), Campo Grande, Lisboa 1749-016, Portugal)

  • Paulo Urbano

    (Faculty of Sciences, University of Lisbon—LabMag (FCUL), Campo Grande, Lisboa 1749-016, Portugal)

  • José P. Duarte

    (Faculty of Architecture, Technical University of Lisbon (TULisbon), Rua Sá Nogueira, Pólo Universitário, Alto da Ajuda, Lisboa 1349-055, Portugal)

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.

Suggested Citation

  • Nuno Montenegro & Jorge C. Gomes & Paulo Urbano & José P. Duarte, 2012. "A Land Use Planning Ontology: LBCS," Future Internet, MDPI, vol. 4(1), pages 1-18, January.
    • Handle: RePEc:gam:jftint:v:4:y:2012:i:1:p:65-82:d:15569
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/4/1/65/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/4/1/65/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Caterina Pietra & Roberto De Lotto & Rakan Bahshwan, 2021. "Approaching Healthy City Ontology: First-Level Classes Definition Using BFO," Sustainability, MDPI, vol. 13(24), pages 1-18, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:4:y:2012:i:1:p:65-82:d:15569. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.