Appropriateness of Using CityGML Standard Version 2.0 for Developing 3D City Model in Oman

Kalbani, Khalid Al; Rahman, Alias Bin Abdul

doi:10.1007/978-3-030-66840-2_101

Cited by 2 publications

(2 citation statements)

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“…Digital twin data are commonly stored using CityGML, an XML-based international standard. CityGML is developed by the Open Geospatial Consortium (OGC) [ 10 ] as a 3D information exchange standard that facilitates the exchange of three-dimensional virtual urban models by defining core attributes and relationships; it is adaptable through the addition of new attributes, as required [ 11 , 12 ]. The 3D City Database was employed to configure a database for managing CityGML data, equipped with input/output tools and visualization capabilities.…”

Section: Introductionmentioning

confidence: 99%

Digital Twin Smart City: Integrating IFC and CityGML with Semantic Graph for Advanced 3D City Model Visualization

Lam,

Gu,

Lam

et al. 2024

Sensors

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The growing interest in building data management, especially the building information model (BIM), has significantly influenced urban management, materials supply chain analysis, documentation, and storage. However, the integration of BIM into 3D GIS tools is becoming more common, showing progress beyond the traditional problem. To address this, this study proposes data transformation methods involving mapping between three domains: industry foundation classes (IFC), city geometry markup language (CityGML), and web ontology framework (OWL)/resource description framework (RDF). Initially, IFC data are converted to CityGML format using the feature manipulation engine (FME) at CityGML standard’s levels of detail 4 (LOD4) to enhance BIM data interoperability. Subsequently, CityGML is converted to the OWL/RDF diagram format to validate the proposed BIM conversion process. To ensure integration between BIM and GIS, geometric data and information are visualized through Cesium Ion web services and Unreal Engine. Additionally, an RDF graph is applied to analyze the association between the semantic mapping of the CityGML standard, with Neo4j (a graph database management system) utilized for visualization. The study’s results demonstrate that the proposed data transformation methods significantly improve the interoperability and visualization of 3D city models, facilitating better urban management and planning.

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Section: Introductionmentioning

confidence: 99%

Digital Twin Smart City: Integrating IFC and CityGML with Semantic Graph for Advanced 3D City Model Visualization

Lam,

Gu,

Lam

et al. 2024

Sensors

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“…As described by Chadzynski et al (2022), such systems, coupled with intelligent automation based on cognitive architecture (Kotseruba and Tsotsos, 2020), could aid efforts focused on finding answers to globally most pressing problems (United Nations Security Council, 2021) and existential threats (Ministry of the Environment and Water Resources, 2019). Both, the means and the ends, are recognized and agreed upon by the global governing bodies, such as the UN, G20, and the World Bank (Radermacher, 2020), as well as many individual countries around the world (Chiang, 2012; Ates Aydar et al, 2016; Al Kalbani and Abdul Rahman, 2021; OGC Asia Forum – ShowCases, 2021; Wysocki, 2021). There is also a recognition that, apart from the just mentioned capabilities as well as the capability to conduct complex multi-factor optimization scenarios at a city scale (Perera et al, 2021), urban modeling could serve as a tool for storytelling allowing decision makers to communicate the motivations behind policy implementations to wider audiences (Guhathakurta, 2002).…”

Section: Introductionmentioning

confidence: 99%

Semantic 3D city interfaces—Intelligent interactions on dynamic geospatial knowledge graphs

Chadzynski,

Li,

Grišiūtė

et al. 2023

DCE

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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.

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Appropriateness of Using CityGML Standard Version 2.0 for Developing 3D City Model in Oman

Cited by 2 publications

References 20 publications

Digital Twin Smart City: Integrating IFC and CityGML with Semantic Graph for Advanced 3D City Model Visualization

Digital Twin Smart City: Integrating IFC and CityGML with Semantic Graph for Advanced 3D City Model Visualization

Semantic 3D city interfaces—Intelligent interactions on dynamic geospatial knowledge graphs

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