Ghent University Academic Bibliography

Advanced

Enhancing the ifcOWL ontology with an alternative representation for geometric data

Pieter Pauwels, Thomas Krijnen, Walter Terkaj and Jakob Beetz (2017) AUTOMATION IN CONSTRUCTION . 80. p.77-94
abstract
Over the past few years, several suggestions have been made of how to convert an EXPRESS schema into an OWL ontology. The conversion from EXPRESS to OWL is of particular use to the architectural design and construction industry, because one of the key data models in this domain, namely the Industry Foundation Classes (IFC), is represented using the EXPRESS information modelling language. These conversion efforts have by now resulted in a recommended ifcOWL ontology that stays semantically close to the EXPRESS schema. Two major improvements could be made in addition to this ifcOWL basis. First, the ontology could be split into diverse modules, making it easier to use subsets of the entire ontology. Second, geometric aggregated data (e.g. lists of coordinates) could be serialised into alternative, less complex semantic structures. The purpose of both improvements is to make ifcOWL data smaller in size and complexity. In this article, we focus entirely on the second topic, namely the optimization of geometric data in the semantic representation. We outline and discuss the diverse available options in optimizing the data representations used. We quantify the impact of these measures on the ifcOWL ontology and instance model size. We conclude with an explicit recommendation and give an indication of how this recommendation might be implemented in combination with the already available ifcOWL ontology.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
BIM, IFC, OWL, Linked data, Geometry, Data Exchange
journal title
AUTOMATION IN CONSTRUCTION
volume
80
pages
77 - 94
publisher
Elsevier BV
ISSN
0926-5805
DOI
10.1016/j.autcon.2017.03.001
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
8518902
handle
http://hdl.handle.net/1854/LU-8518902
date created
2017-04-28 08:06:28
date last changed
2017-05-05 09:42:32
@article{8518902,
  abstract     = {Over the past few years, several suggestions have been made of how to convert an EXPRESS schema into an OWL ontology. The conversion from EXPRESS to OWL is of particular use to the architectural design and construction industry, because one of the key data models in this domain, namely the Industry Foundation Classes (IFC), is represented using the EXPRESS information modelling language. These conversion efforts have by now resulted in a recommended ifcOWL ontology that stays semantically close to the EXPRESS schema. Two major improvements could be made in addition to this ifcOWL basis. First, the ontology could be split into diverse modules, making it easier to use subsets of the entire ontology. Second, geometric aggregated data (e.g. lists of coordinates) could be serialised into alternative, less complex semantic structures. The purpose of both improvements is to make ifcOWL data smaller in size and complexity. In this article, we focus entirely on the second topic, namely the optimization of geometric data in the semantic representation. We outline and discuss the diverse available options in optimizing the data representations used. We quantify the impact of these measures on the ifcOWL ontology and instance model size. We conclude with
an explicit recommendation and give an indication of how this recommendation might be implemented in combination with the already available ifcOWL ontology.},
  author       = {Pauwels, Pieter and Krijnen, Thomas and Terkaj, Walter and Beetz, Jakob},
  issn         = {0926-5805},
  journal      = {AUTOMATION IN CONSTRUCTION                                            },
  keyword      = {BIM,IFC,OWL,Linked data,Geometry,Data Exchange},
  language     = {eng},
  pages        = {77--94},
  publisher    = {Elsevier BV},
  title        = {Enhancing the ifcOWL ontology with an alternative representation for geometric data},
  url          = {http://dx.doi.org/10.1016/j.autcon.2017.03.001},
  volume       = {80},
  year         = {2017},
}

Chicago
Pauwels, Pieter, Thomas Krijnen, Walter Terkaj, and Jakob Beetz. 2017. “Enhancing the ifcOWL Ontology with an Alternative Representation for Geometric Data.” Automation in Construction  80: 77–94.
APA
Pauwels, Pieter, Krijnen, T., Terkaj, W., & Beetz, J. (2017). Enhancing the ifcOWL ontology with an alternative representation for geometric data. AUTOMATION IN CONSTRUCTION  , 80, 77–94.
Vancouver
1.
Pauwels P, Krijnen T, Terkaj W, Beetz J. Enhancing the ifcOWL ontology with an alternative representation for geometric data. AUTOMATION IN CONSTRUCTION  . Elsevier BV; 2017;80:77–94.
MLA
Pauwels, Pieter, Thomas Krijnen, Walter Terkaj, et al. “Enhancing the ifcOWL Ontology with an Alternative Representation for Geometric Data.” AUTOMATION IN CONSTRUCTION  80 (2017): 77–94. Print.