IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v43y2016i4p610-639.html
   My bibliography  Save this article

Semantic urban modelling: Knowledge representation of urban space

Author

Listed:
  • Mauro Berta
  • Luca Caneparo
  • Alfonso Montuori
  • Davide Rolfo

Abstract

The paper presents a methodology for describing in generative terms the structure of urban fabrics: the objective is to transfer conceptually the knowledge about the domain of urban space into a hierarchical and interrelated semantic structure with relevant concepts, elements and their mutual relationships, providing explicit and unambiguous definitions. The conceptual and operational instrument adopted for this purpose is the ontology, a method of knowledge representation and management coming from the Artificial Intelligence. This approach aims to create a customisable digital design tool, to support the designer in the early stages of urban design process, such as street pattern and massing definition, by generating in real time a number of design scenarios, starting from a large number of constraints and requests. This paper focuses on the knowledge formalisation aspects of the research that is the basis for the generative modelling of urban space.

Suggested Citation

  • Mauro Berta & Luca Caneparo & Alfonso Montuori & Davide Rolfo, 2016. "Semantic urban modelling: Knowledge representation of urban space," Environment and Planning B, , vol. 43(4), pages 610-639, July.
    • Handle: RePEc:sae:envirb:v:43:y:2016:i:4:p:610-639
    DOI: 10.1177/0265813515609820
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0265813515609820
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0265813515609820?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kristian Kloeckl & Oliver Senn & Carlo Ratti, 2012. "Enabling the Real-Time City: LIVE Singapore!," Journal of Urban Technology, Taylor & Francis Journals, vol. 19(2), pages 89-112.
    2. Christine Chan & Simon Suigen Guo & Robert Harrison, 2011. "Decision Support Tools for Ontological Engineering," Chapters, in: Chiang Jao (ed.), Efficient Decision Support Systems - Practice and Challenges From Current to Future, IntechOpen.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francesc Valls & Josep Roca, 2021. "Visualizing Digital Traces for Sustainable Urban Management: Mapping Tourism Activity on the Virtual Public Space," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    2. Khadija Ajmal & Nallan C. Suresh & Charles X. Wang, 2021. "Disruptive Technologies and Sustainable Supply Chain Management: A Review and Cross-Case Analysis," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 11(2), pages 1-77, 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:sae:envirb:v:43:y:2016:i:4:p:610-639. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (email available below). General contact details of provider: .

    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.