Semantic 3D city interfaces - intelligent interactions on dynamic geospatial knowledge graphs

This article presents a system architecture and a set of interfaces that can build scalable information systems capable of large city modeling based on dynamic geospatial knowledge graphs to avoid pitfalls of Web 2.0 applications while blending artificial and human intelligence during the knowledge...

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Main Authors: Chadzynski, Arkadiusz, Li, Shiying, Grišiūtė, Ayda, Chua, Jefferson, Hofmeister, Markus, Yan, Jingya, Tai, Huay Yi, Lloyd, Emily, Tsai, Yi Kai, Agarwal, Mehal, Akroyd, Jethro, Herthogs, Pieter, Kraft, Markus
Other Authors: School of Chemical and Biomedical Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/173533
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1735332024-02-13T02:52:44Z Semantic 3D city interfaces - intelligent interactions on dynamic geospatial knowledge graphs Chadzynski, Arkadiusz Li, Shiying Grišiūtė, Ayda Chua, Jefferson Hofmeister, Markus Yan, Jingya Tai, Huay Yi Lloyd, Emily Tsai, Yi Kai Agarwal, Mehal Akroyd, Jethro Herthogs, Pieter Kraft, Markus School of Chemical and Biomedical Engineering Cambridge Centre for Advanced Research and Education in Singapore (CARES) Engineering City Modeling Cognitive Architecture This article presents a system architecture and a set of interfaces that can build scalable information systems capable of large city modeling based on dynamic geospatial knowledge graphs to avoid pitfalls of Web 2.0 applications while blending artificial and human intelligence during the knowledge enhancement processes. We designed and developed a GeoSpatial Processor, an SQL2SPARQL Transformer, and a geospatial tiles ordering tasks and integrated them into a City Export Agent to visualize and interact with city models on an augmented 3D web client. We designed a Thematic Surface Discovery Agent to automatically upgrade the model's level of detail to interact with thematic parts of city objects by other agents. We developed a City Information Agent to help retrieve contextual information, provide data concerning city regulations, and work with a City Energy Analyst Agent that automatically estimates the energy demands for city model members. We designed a Distance Agent to track the interactions with the model members on the web, calculate distances between objects of interest, and add new knowledge to the Cities Knowledge Graph. The logical foundations and CityGML-based conceptual schema used to describe cities in terms of the OntoCityGML ontology, together with the system of intelligent autonomous agents based on the J-Park Simulator Agent Framework, make such systems capable of assessing and maintaining ground truths with certainty. This new era of GeoWeb 2.5 systems lowers the risk of deliberate misinformation within geography web systems used for modeling critical infrastructures. National Research Foundation (NRF) Published version This research is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) program. M.K. gratefully acknowledges the support of the Alexander von Humboldt Foundation. The research was conducted as part of an Intra-CREATE collaborative project involving CARES, which is University of Cambridge’s presence in Singapore, and Future Cities Laboratory at the Singapore-ETH Centre, which was established collaboratively between ETH Zurich and the National Research Foundation Singapore. 2024-02-13T02:52:43Z 2024-02-13T02:52:43Z 2023 Journal Article Chadzynski, A., Li, S., Grišiūtė, A., Chua, J., Hofmeister, M., Yan, J., Tai, H. Y., Lloyd, E., Tsai, Y. K., Agarwal, M., Akroyd, J., Herthogs, P. & Kraft, M. (2023). Semantic 3D city interfaces - intelligent interactions on dynamic geospatial knowledge graphs. Data-Centric Engineering, 4(10). https://dx.doi.org/10.1017/dce.2023.14 2632-6736 https://hdl.handle.net/10356/173533 10.1017/dce.2023.14 2-s2.0-85171567794 10 4 en Data-Centric Engineering © The Author(s), 2023. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
City Modeling
Cognitive Architecture
spellingShingle Engineering
City Modeling
Cognitive Architecture
Chadzynski, Arkadiusz
Li, Shiying
Grišiūtė, Ayda
Chua, Jefferson
Hofmeister, Markus
Yan, Jingya
Tai, Huay Yi
Lloyd, Emily
Tsai, Yi Kai
Agarwal, Mehal
Akroyd, Jethro
Herthogs, Pieter
Kraft, Markus
Semantic 3D city interfaces - intelligent interactions on dynamic geospatial knowledge graphs
description This article presents a system architecture and a set of interfaces that can build scalable information systems capable of large city modeling based on dynamic geospatial knowledge graphs to avoid pitfalls of Web 2.0 applications while blending artificial and human intelligence during the knowledge enhancement processes. We designed and developed a GeoSpatial Processor, an SQL2SPARQL Transformer, and a geospatial tiles ordering tasks and integrated them into a City Export Agent to visualize and interact with city models on an augmented 3D web client. We designed a Thematic Surface Discovery Agent to automatically upgrade the model's level of detail to interact with thematic parts of city objects by other agents. We developed a City Information Agent to help retrieve contextual information, provide data concerning city regulations, and work with a City Energy Analyst Agent that automatically estimates the energy demands for city model members. We designed a Distance Agent to track the interactions with the model members on the web, calculate distances between objects of interest, and add new knowledge to the Cities Knowledge Graph. The logical foundations and CityGML-based conceptual schema used to describe cities in terms of the OntoCityGML ontology, together with the system of intelligent autonomous agents based on the J-Park Simulator Agent Framework, make such systems capable of assessing and maintaining ground truths with certainty. This new era of GeoWeb 2.5 systems lowers the risk of deliberate misinformation within geography web systems used for modeling critical infrastructures.
author2 School of Chemical and Biomedical Engineering
author_facet School of Chemical and Biomedical Engineering
Chadzynski, Arkadiusz
Li, Shiying
Grišiūtė, Ayda
Chua, Jefferson
Hofmeister, Markus
Yan, Jingya
Tai, Huay Yi
Lloyd, Emily
Tsai, Yi Kai
Agarwal, Mehal
Akroyd, Jethro
Herthogs, Pieter
Kraft, Markus
format Article
author Chadzynski, Arkadiusz
Li, Shiying
Grišiūtė, Ayda
Chua, Jefferson
Hofmeister, Markus
Yan, Jingya
Tai, Huay Yi
Lloyd, Emily
Tsai, Yi Kai
Agarwal, Mehal
Akroyd, Jethro
Herthogs, Pieter
Kraft, Markus
author_sort Chadzynski, Arkadiusz
title Semantic 3D city interfaces - intelligent interactions on dynamic geospatial knowledge graphs
title_short Semantic 3D city interfaces - intelligent interactions on dynamic geospatial knowledge graphs
title_full Semantic 3D city interfaces - intelligent interactions on dynamic geospatial knowledge graphs
title_fullStr Semantic 3D city interfaces - intelligent interactions on dynamic geospatial knowledge graphs
title_full_unstemmed Semantic 3D city interfaces - intelligent interactions on dynamic geospatial knowledge graphs
title_sort semantic 3d city interfaces - intelligent interactions on dynamic geospatial knowledge graphs
publishDate 2024
url https://hdl.handle.net/10356/173533
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