Cities Knowledge Graph: bridging human and artificial intelligence to support synthesis in city planning


METADATA ONLY
Loading...

Author / Producer

Date

2022-08-17

Publication Type

Presentation

ETH Bibliography

yes

Citations

Altmetric
METADATA ONLY

Data

Rights / License

Abstract

Planning and managing the growth of cities today and into the future is widely regarded as essential to address the challenge of climate change and the host of associated issues that underpin long-term liveability and sustainability. In a rapidly urbanising world, city planning professionals need to integrate ever more data, tools, and targets, with planners weaving together inputs from different domains, departments, and stakeholders in order to develop coherent, consensus-based futures. The Cities Knowledge Graph (CKG) project, a collaboration between Cambridge CARES and the Singapore-ETH Centre, explores the potential benefits of Knowledge Graph technologies to digitally support synthesis in urban planning. In this Global Seminar, Dr Pieter Herthogs will present the CKG project based on specific examples from land-use planning, showcasing novel ways CKG supports the four key meta-practices of planning: representation, evaluation, projection, and synthesis. He will highlight the importance of formal Knowledge Representation in digital planning as a way to link quantitative and qualitative applications, bridging human and artificial intelligence.

Permanent link

Publication status

published

Editor

Book title

Journal / series

Volume

Pages / Article No.

Publisher

Singapore ETH Centre

Event

Global Seminar | Cities Knowledge Graph (CKG): bridging human and artificial intelligence to support synthesis in city planning

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

knowledge graphs; Knowledge representation; ontology; city planning; artificial intelligence

Organisational unit

08060 - FCL / FCL
08058 - Singapore-ETH Centre (SEC) / Singapore-ETH Centre (SEC)

Notes

Funding

Related publications and datasets