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  • Servigne, S.  (3)
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  • 1
    Online Resource
    Online Resource
    Copernicus GmbH ; 2021
    In:  ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. VIII-4/W2-2021 ( 2021-10-07), p. 37-44
    In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Copernicus GmbH, Vol. VIII-4/W2-2021 ( 2021-10-07), p. 37-44
    Abstract: 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.
    Type of Medium: Online Resource
    ISSN: 2194-9050
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2021
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  • 2
    Online Resource
    Online Resource
    Copernicus GmbH ; 2022
    In:  ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. X-4/W2-2022 ( 2022-10-14), p. 37-44
    In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Copernicus GmbH, Vol. X-4/W2-2022 ( 2022-10-14), p. 37-44
    Abstract: Abstract. Computerized maintenance management systems (CMMS) aim to assist administration and maintenance agents in their asset maintenance tasks (e.g., building, network, air conditioning, faucets maintenance). In this context, geospatial data can help to have a better understanding of the assets they represent by providing additional information: spatial, thematic, temporal, or inter-object relationships. Using such information often leads to interoperability issues as different domains describe them with different data models, like Building Information Modeling (using the Industry Foundation Classes format) and Geographic Information System (using the CityGML format). Spatial information, and particularly 2D or 3D geometry, are stored using heterogeneous representations (e.g., triangle soup, boundary representation, sweep volume, composite solids). Visualization and navigation in the information provided by multiple data sources remain a problem, as there is a need to understand the domains, languages, and models used to describe them. Furthermore, there is a need for solutions to integrate geometric data to manage and visualize existing 2D or 3D representations of assets in geospatial data stores while being able to retrieve additional information using semantic data stores. We propose, in this paper, a methodology to integrate heterogeneous geospatial data in the same viewer by transforming geometric data to a standardized format while keeping a link to sources, in order to navigate in the context of an asset by visualizing its spatial and thematic information.
    Type of Medium: Online Resource
    ISSN: 2194-9050
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2022
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    Copernicus GmbH ; 2018
    In:  ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. IV-4/W6 ( 2018-09-12), p. 65-72
    In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Copernicus GmbH, Vol. IV-4/W6 ( 2018-09-12), p. 65-72
    Abstract: Abstract. The study of urban evolution requires representation and management of concurrent points of view using interoperable standards. An extension to CityGML has been recently proposed (Chaturvedi et al., 2017) to represent urban evolution. In this article, we further extend this work to represent different possible scenarios . The key characteristic of our approach is that it makes the most of existing technologies like version control system so that users can easily work with our proposed extension. Our approach also lets the users add and even modify information to versions and version transitions of scenarios in a given workspace.
    Type of Medium: Online Resource
    ISSN: 2194-9050
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2018
    Location Call Number Limitation Availability
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