PRACTICAL EXAMPLES ON BIM-GIS INTEGRATION BASED ON SEMANTIC WEB TRIPLESTORES

The integration of geodata and building models is one of the current challenges in the AECOO (architecture, engineering, construction, owner, operation) domain. Data from Building Information Models (BIM) and Geographical Information Systems (GIS) can’t be simply mapped 1:1 to each other because of...

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Vydáno v:International archives of the photogrammetry, remote sensing and spatial information sciences. Ročník XLVI-5/W1-2022; s. 211 - 216
Hlavní autoři: Schilling, S., Clemen, C.
Médium: Journal Article Konferenční příspěvek
Jazyk:angličtina
Vydáno: Gottingen Copernicus GmbH 03.02.2022
Copernicus Publications
Témata:
Building information modeling
Building management systems
Data integration
Domains
Geographic information systems
Geographical information systems
Information systems
Resource Description Framework-RDF
Semantic web
Semantics
Spatial data
Workflow
ISSN:2194-9034, 1682-1750, 2194-9034
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Popis
Shrnutí:The integration of geodata and building models is one of the current challenges in the AECOO (architecture, engineering, construction, owner, operation) domain. Data from Building Information Models (BIM) and Geographical Information Systems (GIS) can’t be simply mapped 1:1 to each other because of their different domains. One possible approach is to convert all data in a domain-independent format and link them together in a semantic database. To demonstrate, how this data integration can be done in a federated database architecture, we utilize concepts of the semantic web, ontologies and the Resource Description Framework (RDF). It turns out, however, that traditional object-relational approaches provide more efficient access methods on geometrical representations than triplestores. Therefore we developed a hybrid approach with files, geodatabases and triplestores. This work-in-progress-paper (extend abstract) demonstrates our intermediate research results by practical examples and identifies opportunities and limitations of the hybrid approach.
Bibliografie:ObjectType-Article-1
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SourceType-Conference Papers & Proceedings-1
content type line 22
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLVI-5-W1-2022-211-2022