Schlüsselwörter
(Englisch)
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3D visualization; usability evaluation; knowledge; 3D city models; ontology
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Forschungsprogramme
(Englisch)
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COST-Action TU0801 - Semantic enrichment of 3D city models for sustainable urban development
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Kurzbeschreibung
(Englisch)
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Many urban or environmental resources (data from geographic information systems, models related to air or water quality, transportation, construction…) have been defined with the objective of helping practitioners and stakeholders in their decision-making processes. 3D city models - representing in 3 dimensions the geometric elements of a city- are increasingly used in different cities all around the world for an intended wide range of applications beyond mere visualization. Such uses are made possible by using semantically enriched 3D city models. Those models are in fact 3D city models extended with knowledge issued from urban or environmental resources that are interconnected so as taking into account the semantic interrelations between them. The challenges that occur relate on how interactively visualize such enriched 3D city models as the added knowledge can issue from different fields (transport, construction…), be of different kinds (quantitative measures of noise/qualitative soundscapes…), take different forms (structured data from geographical information systems/unstructured documents…), relate to different scales (city as a whole, buildings…) or even be not georeferenced (legal text for example). This challenge is particularly important in the case of a sustainable development as the city has to be planned in a holistic way. The aim of this project is to create and to compare 3D knowledge visualization techniques for urban planning.
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Weitere Hinweise und Angaben
(Englisch)
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Full name of research-institution/enterprise: Université de Genève Centre universitaire d'informatique Institut d'ingénierie des connaissances et logiques de l'espace -Site de Batelle
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Partner und Internationale Organisationen
(Englisch)
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AT, BE, CH, CY, DE, DK, ES, FI, FR, HR, HU, IE, IT, LV, MK, NL, NO, PT, RO, SE, SI, SK, UK
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Abstract
(Englisch)
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Many urban or environmental resources, such as data from geographic information systems, models related to air or water quality, transportation, construction… have been defined with the objective of helping practitioners and stakeholders in their decision-making processes. 3D city models are specific urban resources representing in 3 dimensions the geometric elements of a city. They are increasingly used in different cities all around the world for an intended wide range of applications beyond mere visualization. Such uses are made possible by means of semantically enriched 3D city models where the geometric elements have been extended with specific knowledge. The evaluation of a cycling road project, for example, can have the following evaluation criteria: security, noise, air quality, visual attract, comfort, cost and compatibility with regulations or policies. The knowledge associated with such a project has to be compiled from different resources such as noise measures and soundscapes, traffic information, air quality and pollutant dispersion models, aesthetics criteria, etc. The challenges that occur relate on how interactively visualize such enriched 3D city models as the added knowledge can originate from different fields (transport, construction…), be of different kinds (quantitative measures of noise, qualitative soundscapes…), take different forms (from structured data provided by geographical information systems to unstructured documents), relate to different scales (city as a whole, buildings…) or even be not georeferenced (legal text for example) although they have a spatiotemporal coverage. In this project we propose a framework in order to help a designer of an enriched 3D city model to choose the best visualization techniques for the knowledge to visualize, the context in which this visualization will take place, and the task that will be performed by the intended user. More precisely we propose a formal representation of existing visualization techniques in the form of (1) an ontology of 3D visualization techniques that can be used for computational reasoning, (2) a knowledge base containing the description of specific techniques in terms of data, visual rendering, task, context, … and (3) selection tools that rely on this knowledge base.
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Datenbankreferenzen
(Englisch)
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Swiss Database: COST-DB of the State Secretariat for Education and Research Hallwylstrasse 4 CH-3003 Berne, Switzerland Tel. +41 31 322 74 82 Swiss Project-Number: C10.0150
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