2019
DOI: 10.12948/issn14531305/23.3.2019.03
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Applying PLU Rules on Different BIM/GIS Interoperability Approaches

Abstract: Compliance checking for building models, cities and territories involves formalizing a set of model schemas and constraints. In this context, we aim to achieve two goals: (1) achieve semantic interoperability between BIM (IFC) and GIS (CityGML), which help us represent building information in its details and its surrounding environment; (2) adapting of PLU rule into semantic queries. In this article, we will introduce (A) BIM and GIS interoperability approaches, and (B) connecting the interoperable models, wit… Show more

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Cited by 5 publications
(5 citation statements)
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“…The set of correspondences between the concepts of two ontologies is an alignment between the ontologies (figure 1). Several works (Hbeich et al, 2020;Usmani et al, 2021) are underway to align BIM and GIS data through the use of these integration approaches.…”
Section: Semantic Data Integrationmentioning
confidence: 99%
“…The set of correspondences between the concepts of two ontologies is an alignment between the ontologies (figure 1). Several works (Hbeich et al, 2020;Usmani et al, 2021) are underway to align BIM and GIS data through the use of these integration approaches.…”
Section: Semantic Data Integrationmentioning
confidence: 99%
“…The metamodel approach is referred as the "unification approach", according to the ISO 11354 classification. The authors of [90], in their analytic review of previous BIM/GIS integration approaches, classified the works done by [74] and [81] as a "unification approach", therefore implying the adoption of metamodels.…”
Section: Lack Of a Bridge Between Aec And Mde Communitiesmentioning
confidence: 99%
“…Considering automated zoning code compliance checking area, Hbeich et al (2019b) studied BIM-GIS integration for representing detailed building with its surroundings and aimed to transform urban regulations rules into SPARQL queries which are required to query and check the data within an automated checker environment (Hbeich et al, 2019a).They proposed a semantic integration approach where the data models remain independent from each other but required concepts and properties are mapped for creating a coupled common model that contains the required building data and its surroundings. Firstly, they created ontologies for IFC and CityGML data separately and then aligned the ontologies by mapping only required concepts and properties to create a base model to be checked in a code checking application.…”
Section: Development Of a Unified Domain Modelmentioning
confidence: 99%