Processing existing building geometry for reuse as Linked Data

Bassier, Maarten; Bonduel, Mathias; Derdaele, Jens; Vergauwen, Maarten

doi:10.1016/j.autcon.2020.103180

Cited by 12 publications

(11 citation statements)

References 55 publications

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“…Two articles are about "Buildings" [68], [69]. This topic is relevant in an accurate description of the healthcare environment, for example in terms of facility management as well as indoor localization and navigation.…”

Section: Discussionmentioning

confidence: 99%

“…Donkers et al [68] presents the Building Performance Ontology (BOP) which aims to enable the integration of topological building information with static and dynamic properties, to create a homogeneous data environment used by complex building performance assessments. Bassier et al [69] offer an introduction of the Building Topology Ontology (BOT), with the analysis of its competence areas and applications in combination with other technologies. BOT originated from the need for the implementation of web-based applications to enhance the BIM methods.…”

Section: Discussionmentioning

confidence: 99%

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Semantic Ontologies for Complex Healthcare Structures: A Scoping Review

et al. 2023

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The healthcare environment is made up of highly complicated interactions between many technologies, activities, and people. Ensuring a solid communication between them is vital to ease the healthcare management. Semantic ontologies are knowledge representation tools that implement abstractions to fully describe a given topic in terms of subjects and relations. This scoping review aims to identify and analyse available ontologies which can depict all the available use-cases that describe the hospital environment in relation to the European project ODIN and its future expansion. The review has been conducted on the Scopus database on January 13th, 2023 using the PRISMA extensions for scoping reviews. Two reviewers screened 3,225 documents emerged from the database search. Further filtering led to a final set of 32 articles to be analysed for the results. A set of 34 ontologies extracted by the identified articles has been analysed and discussed as well. The results of this study will lead to the implementation of a common integrated ontology which could hold information about healthcare entities as well as their semantic relationships, strengthen data exchange and interconnections among people, devices and applications in an expanded scenario which include Internet of Things, robots and Artificial Intelligence.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Semantic Ontologies for Complex Healthcare Structures: A Scoping Review

et al. 2023

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“…Even in the latter case, the keys used to refer to specific information will most likely be software specific, so separate templates will be needed for different algorithms. Therefore, the most convenient way, with the largest degree of process automatisation, would be if a scan-to-BIM algorithm offered the choice to export its outcomes to either an RDF or a non-RDF format [40]. Yet this approach will require a much higher effort from the developer side, while the generating of a log file might be a more quicker, short term solution.…”

Section: The Stg Workflowmentioning

confidence: 99%

Scan-to-graph: Semantic enrichment of existing building geometry

Werbrouck

Pauwels

Bonduel

et al. 2020

Automation in Construction

Self Cite

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Building Information Modelling (BIM) has changed the way in which buildings are conceived, planned and executed. Apart from their frequent use for as-planned buildings, BIM authoring tools have now been adopted for a number of years for digitising existing buildings as well, mostly by performing a 'scan-to-BIM' process: the creation of a BIM model, primarily based on point clouds. However, some inherent characteristics of existing buildings are complicating such a process: uncertainties, geometric irregularities, classification of heritage building components, linking sources about the real-world asset and an interdisciplinarity that may go beyond traditional Architecture, Engineering and Construction (AEC) topics (e.g. heritage, Facility Management, sensor data and damage assessment). In this paper, a framework called 'scan-to-graph' (STG) is proposed to integrate the concepts of scan-to-BIM with Semantic Web technologies, as these could provide answers to the above-mentioned challenges, most notably on documentation of uncertainties, sources and modelling decisions, element classification and cross-discipline information linking. In order to test the STG concept, a use case was developed where the Audience Room of the Gravensteen castle in Ghent was reconstructed from point clouds, semantically enriched and stored as an RDF graph. The resulting graph contains multiple interlinked geometry types, metadata about the reconstruction process and the sources and allows to unambiguously refer to other contextual data on the Web.

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“…The OMG ontology can be extended by the Ontology for Geometry File formats (FOG) 5 and Geometry Metadata Ontology (GOM) 6 . For details, refer to Wagner et al (2020) and Bassier et al (2020).…”

Section: Ontologies For Citygml and Ifc Datamentioning

confidence: 99%

Reconciling City Models With Bim in Knowledge Graphs: A Feasibility Study of Data Integration for Solar Energy Simulation

Huang

Olsson

Kanters

et al. 2020

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

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Abstract. Solar energy simulations are used to quantify the potential of the passive use (daylight, solar gains) and the active use (photovoltaics and solar thermal) of solar energy. The simulations can be performed at different scales e.g. buildings, neighbourhoods and cities, with different requirements on the data. For example, for the neighbourhood simulations we need simplified building geometries that can be retrieved from city models, and window information that can be extracted from BIM models (as in many cases window information is missing in city models). In this context, city models and BIM need to be integrated and reconciled. In this paper, we investigate two approaches to integrate and retrieve such information in a case study, where the BIM data is stored in IFC and the city model in CityGML (LOD2). The first approach is to perform a schema matching in an ETL tool, so as to convert and import window information from the IFC file into the CityGML model to create a LOD2-3 building model. We also investigate an alternative avenue, namely a semantic web approach, in which both the BIM and city models are transformed into knowledge graphs (linked data). City models and BIM utilize their respective but interlinked domain ontologies. Particularly, two ontologies are investigated for BIM data, i.e., the ifcOWL ontology and the building topology ontology (BOT). This paper compares different paths of such integrative data retrieval, as well as discloses the gaps mainly with the semantic web approach to further unlock its potential.

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Processing existing building geometry for reuse as Linked Data

Cited by 12 publications

References 55 publications

Semantic Ontologies for Complex Healthcare Structures: A Scoping Review

Semantic Ontologies for Complex Healthcare Structures: A Scoping Review

Scan-to-graph: Semantic enrichment of existing building geometry

Reconciling City Models With Bim in Knowledge Graphs: A Feasibility Study of Data Integration for Solar Energy Simulation

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