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Semantic 3D City Database—An enabler for a dynamic geospatial knowledge graph

能源与人工智能(英文) 2021年第4期6卷 130-142页

作者： Arkadiusz Chadzynski Nenad Krdzavac Feroz Farazi Mei Qi Lim Shiying Li Ayda Grisiute Pieter Herthogs aurel von richthofen Stephen Cairns Markus Kraft Cambridge Centre for Advanced Research and Education in Singapore(CARES) CREATE Tower1 Create WaySingapore138602Singapore Singapore-ETH Centre CREATE Tower1 Create WaySingapore138602Singapore Department of Chemical Engineering and Biotechnology University of CambridgePhilippa Fawcett DriveWest SiteCB30AS CambridgeUK School of Chemical and Biomedical Engineering Nanyang Technological University62 Nanyang DriveSingapore637459Singapore

This paper presents a dynamic geospatial knowledge graph as part of The World Avatar project,with an underlying ontology based on CityGML 2.0 for three-dimensional geometrical city *** comprehensively evaluated,repaired and refined an existing CityGML ontology to produce an improved version that could pass the necessary tests and complete unit test development.A corresponding data transformation tool,originally designed to work alongside CityGML,was *** allowed for the transformation of original data into a form of semantic *** compared various scalable technologies for this semantic data storage and chose Blazegraph™as it provided the required geospatial search *** also evaluated scalable hardware data solutions and file systems using the publicly available CityGML 2.0 data of Charlottenburg in Berlin,Germany as a working *** structural isomorphism of the CityGML schemas and the OntoCityGML Tbox allowed the data to be transformed without loss of *** geospatial search algorithms allowed us to retrieve building data from any point in a city using *** use of named graphs and namespaces for data partitioning ensured the system performance stayed well below its capacity *** was achieved by evaluating scalable and dedicated data storage hardware capable of hosting expansible file systems,which strengthened the architectural foundations of the target system.

关键词： CityGML Sustainability Digitisation Urban planning Semantic web Knowledge graph Ontology Decision support system Artificial intelligence Geospatial modelling Geospatial search

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The ‘Urban Elements'method for teaching parametric urban design to professionals

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Frontiers of Architectural Research 2018年第4期7卷 573-587页

作者： aurel yon richthofen Katja Knecht Yufan Miao Reinhard Konig ETH Zurich Future Cities Laboratory SingaporeSingapore-ETH CentreSingapore Bauhaus University Weimar Belvederer Allee 199423 WeimarGermany Austrian Institute of Technology Vienna TECHbase ViennaGiefinggasse 21210 ViennaAustria

The article proposes a method for teaching advanced urban design to working professionals in Singapore. The article aims to expand the discourse on parametric urban design education by introducing ‘Urban Elements’ as conceptual urban design instruments with an inherent rule-based logic, which can help to bridge gaps in teaching parametric urban design thinking. As case study we present a course developed for and delivered to the Urban Redevelopment Authority (URA) in Singapore in 2017 by the Future Cities Laboratory at the Singapore-ETH Centre. The article reports on the pedagogical method, course results and course feedback. The main difficulties of teaching professionals in parametric urban design are described and possible reasons and improvements are discussed. The results show that participants using the ‘Urban Elements’ method successfully linked theoretical input to urban design problems, applied evidence-based urban design strategies to these problems, and developed parametric definitions to explore the solution spaces of these urban design challenges. The teaching methodology presented opens up a new research field for urban design pedagogy at the intersection of explicating urban design intent, integrating multidisciplinary knowledge and exploring new software driven tools.

关键词： Urban design education Parametric urban design Singapore Urban Elements

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