A Requirement Analysis on Extending Semantic 3d City Models for Supporting Time-Dependent Properties

Chaturvedi, Kanishk; Kolbe, Thomas H.

doi:10.5194/isprs-annals-iv-4-w9-19-2019

Cited by 9 publications

(8 citation statements)

References 21 publications

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“…A longer‐term goal opening up possibilities for new research and uses would be to specify GenLinkable for types of features other than multimedia documents and 3D city models. One identified use case (Chaturvedi & Kolbe, 2019) is for applications related to smart cities, which would benefit from integrating real‐time sensor data (e.g., energy consumption of a building, room temperature) and 3D city models. Gathering and integrating these resources using GenLinkable would result in creating a shared model with many resources describing the city, based on standards and used for web visualization and navigation.…”

Section: Discussionmentioning

confidence: 99%

Integrating multimedia documents and time‐evolving 3D city models for web visualization and navigation

Jaillot

Rigolle

Servigne

et al. 2021

Transactions in GIS

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Many geographic features such as 3D city models, real‐time sensor data and multimedia documents (photo, audio, video, etc.) are nowadays available for describing urban areas. These heterogeneous geographic features are multidimensional (spatial, thematic and temporal), can have multiple representations (text, iconography, etc.) and can be modeled using diverse formats. Browsing and crossing these features can help us to analyze and understand the past and present and plan the future evolution of cities. Furthermore, doing so in a web context allows us to share and enrich them in a collective way. In this article we propose a new generic model (GenLinkable) for integrating such features. We also propose the Gen4DCity‐Doc model which specifies GenLinkable to integrate multimedia documents and time‐evolving 3D city models for web visualization and navigation. Gen4DCity‐Doc extends previous research results by integrating new resources describing cities (multimedia documents). Gen4DCity‐Doc is implemented in a web prototype based on a four‐tier architecture using and enhancing open source software and standards. Finally, we also demonstrate that these models open up new navigation possibilities in 3D city models and in multimedia documents through a 3D web interface, which is a current challenge, especially to help researchers in urban history.

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Section: Discussionmentioning

confidence: 99%

Integrating multimedia documents and time‐evolving 3D city models for web visualization and navigation

Jaillot

Rigolle

Servigne

et al. 2021

Transactions in GIS

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“…CityGML is an international standard proposed by OGC 2 for representing thematic, structural and semantic information of cities at different scales or levels of detail. It is also being currently used for the study of historical evolution (Pfeiffer et al 2013;Billen et al 2012;Morel and Gesquière 2014;Samuel et al 2016;Chaturvedi and Kolbe 2019). The standard (Tegtmeier et al 2014; Chaturvedi and Kolbe 2016) is currently being used by diverse communities for integrating domain-specific information to the underlying city model (Gil et al 2011).…”

Section: Related Workmentioning

confidence: 99%

Representation of concurrent points of view of urban changes for city models

2020

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Cities evolve over time and their evolution is often studied using material objects and historical documents. Based on available evidence, researchers propose various hypotheses explaining the probable evolution, both imaginary and factual. Furthermore, city models are used to model and visualize 3D structures and semantic information of the cities. With the help of versioning of city objects, it is possible to represent temporal changes of city structures. And with the support for representing scenarios, it is possible to represent different possible sequences of urban changes. In this article, we formalize a set of rules for representation of concurrent points of view of researchers related to urban changes based on standard city model. The goal is to understand how the cities have evolved, what were the key changes and allow exchange between various hypotheses (or processes). We developed a proof of concept named UrbanCo 2 Fab based on these rules to demonstrate the highly potential use cases of our proposition.

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“…The continuing amelioration of semantic 3D city models has provided powerful tools for comprehending the dynamics of the constantly evolving urban landscape. Data-driven approaches such as the construction of virtual environments such as digitaltwins (Batty, 2018, Julin et al, 2018, Schrotter and Hürzeler, 2020 can help visualize and simulate city events and dynamics both real and imaginary, over time (Biljecki et al, 2015, Chaturvedi and Kolbe, 2019, Jaillot et al, 2020.…”

Section: Introductionmentioning

confidence: 99%

“…The CityGML standard is still evolving (Kutzner et al, 2020) to represent all the complex data requirements of 4D (3D + Time) semantic city models (Chaturvedi and Kolbe, 2019) and may need enrichment through data integration of other heterogeneous data sources to achieve more complete or detailed views of the urban landscape. To facilitate integration, the use of ontologies has been promoted as they provide flexible, machineprocessable formalizations of data models as semantic graphs 1 https://www.ogc.org/ 2 https://www.ogc.org/standards/citygml (Claramunt, 2020, Psyllidis, 2015.…”

Section: Introductionmentioning

confidence: 99%

Towards Limiting Semantic Data Loss in 4d Urban Data Semantic Graph Generation

Vinasco-Alvarez

Samuel²,

Servigne³

et al. 2021

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. To enrich urban digital twins and better understand city evolution, the integration of heterogeneous, spatio-temporal data has become a large area of research in the enrichment of 3D and 4D (3D + Time) semantic city models. These models, which can represent the 3D geospatial data of a city and their evolving semantic relations, may require data-driven integration approaches to provide temporal and concurrent views of the urban landscape. However, data integration often requires the transformation or conversion of data into a single shared data format, which can be prone to semantic data loss. To combat this, this paper proposes a model-centric ontology-based data integration approach towards limiting semantic data loss in 4D semantic urban data transformations to semantic graph formats. By integrating the underlying conceptual models of urban data standards, a unified spatio-temporal data model can be created as a network of ontologies. Transformation tools can use this model to map datasets to interoperable semantic graph formats of 4D city models. This paper will firstly illustrate how this approach facilitates the integration of rich 3D geospatial, spatio-temporal urban data and semantic web standards with a focus on limiting semantic data loss. Secondly, this paper will demonstrate how semantic graphs based on these models can be implemented for spatial and temporal queries toward 4D semantic city model enrichment.

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A Requirement Analysis on Extending Semantic 3d City Models for Supporting Time-Dependent Properties

Cited by 9 publications

References 21 publications

Integrating multimedia documents and time‐evolving 3D city models for web visualization and navigation

Integrating multimedia documents and time‐evolving 3D city models for web visualization and navigation

Representation of concurrent points of view of urban changes for city models

Towards Limiting Semantic Data Loss in 4d Urban Data Semantic Graph Generation

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