id |
ecaade2022_133 |
authors |
Grisiute, Ayda, Silvennoinen, Heidi, Li, Shiying, Chadzynski, Arkadiusz, von Richthofen, Aurel and Herthogs, Pieter |
year |
2022 |
title |
Unlocking Urban Simulation Data with a Semantic City Planning System - Ontologically representing and integrating MATSim output data in a knowledge graph |
doi |
https://doi.org/10.52842/conf.ecaade.2022.2.257
|
source |
Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 257–266 |
summary |
Simulation models generate an abundance of rich raw data that remains difficult to access for non-experts. However, such data could be unlocked and utilised with a Semantic City Planning System that improves data accessibility and transparency. This paper describes a process of ontologically representing mobility simulation output data using Semantic Web technologies and storing it in a dynamic geospatial knowledge graph. Our work presents two benefits: 1) formally representing simulation output data increases the accessibility and transparency of urban simulation models, and 2) access to under-utilised rich data unlocks novel cross-domain knowledge explorations and research possibilities. We demonstrate these benefits by means of cross-domain queries related to typical city planning questions. |
keywords |
Semantic Web Technology, Mobility, Urban Planning, Ontology, MATSim, Knowledge Graph |
series |
eCAADe |
email |
|
full text |
file.pdf (2,579,530 bytes) |
references |
Content-type: text/plain
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last changed |
2024/04/22 07:10 |
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