A rule-based methodology to extract building model views

Détails

ID Serval
serval:BIB_8B3224E4448D
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A rule-based methodology to extract building model views
Périodique
Automation in Construction
Auteur(s)
de Farias T.M., Roxin A., Nicolle C.
ISSN
1872-7891
ISSN-L
0926-5805
Statut éditorial
Publié
Date de publication
2018
Peer-reviewed
Oui
Volume
92
Pages
214-229
Langue
anglais
Résumé
In this paper, we present a novel approach called lie View that relies on Semantic Web technologies for creating building views. To do so, we consider an ifcOWL ontology proposed by buildingSMART. The ifcOWL is an Industry Foundation Classes (IFC) based ontology. By combining the ifcOWL ontology with logical rules (expressed in Semantic Web Rule Language, SWRL), we demonstrate through several case studies that our approach can perform a more intuitive and flexible extraction of building views when compared to the Model View Definition (MVD) approach. This is because our rule-based approach dynamically creates sub-graphs (i.e. views) by specifying the IFC elements to extract as Globally Unique Identifiers (GUID), relationships or entities. Another benefit of our approach is the fact that it simplifies the maintenance and definition of building views. Once our rule-based system extracts such a building view (i.e. sub-graph), this view can be exported by using STEP (STandard for the Exchange of Product) or Turtle (a Resource Description Framework (RDF) syntax) formats.
Mots-clé
ifcOWL, Rule checking, Model view definition (MVD), Reasoning, Semantic web
Web of science
Création de la notice
16/08/2018 11:20
Dernière modification de la notice
20/08/2019 15:49
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