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Three-dimensional information exchange over the semantic web for the domain of architecture, engineering, and construction

Pieter Pauwels UGent, Davy Van Deursen UGent, Jos De Roo, Tim Van Ackere UGent, Ronald De Meyer UGent, Rik Van de Walle UGent and Jan Van Campenhout UGent (2011) AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING. 25(4). p.317-332
abstract
3D geometry can be described in many ways, with both a varying syntax and a varying semantics. As a result, several very diverse schemas and file formats can be deployed to describe geometry, depending on the application domain in question. In a multidisciplinary domain such as the domain of architecture, engineering and construction (AEC), this range of specialised schemas makes file format conversions inevitable. The approach adopted by current conversion tools, however, often results in a loss of information, most often due to a ‘mistranslation’ between different syntaxes and/or semantics, leading to errors and limitations in the design conception stage and to inefficiency due to the required remodelling efforts. An approach based on semantic web technology may reduce the loss of information significantly, leading to an improved processing of 3D information and hence to an improved design practice in the AEC domain. This paper documents our investigation of the nature of this 3D information conversion problem and how it may be encompassed using semantic web technology. In a double test case, we show how the specific deployment of semantic rule languages and an appropriate inference engine are to be adopted to improve this 3D information exchange. It shows how semantic web technology allows the coexistence of diverse descriptions of the same 3D information, interlinked through explicit conversion rules. Although only a simple example is used to document the process, and a more in-depth investigation is needed, the initial results indicate the suggested approach to be a useful alternative approach to obtain an improved 3D information exchange.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
information exchange, reasoning, architectural design, Semantic Web, 3D
journal title
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING
AI EDAM-Artif. Intell. Eng. Des. Anal. Manuf.
editor
Sean Hanna and Bill Regli
volume
25
issue
4
issue title
Representing and reasoning about 3D space
pages
317 - 332
Web of Science type
Article
Web of Science id
000298000600003
JCR category
ENGINEERING, MULTIDISCIPLINARY
JCR impact factor
0.786 (2011)
JCR rank
41/90 (2011)
JCR quartile
2 (2011)
ISSN
0890-0604
DOI
10.1017/S0890060411000199
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1141922
handle
http://hdl.handle.net/1854/LU-1141922
date created
2011-02-08 08:58:49
date last changed
2015-06-17 09:24:42
@article{1141922,
  abstract     = {3D geometry can be described in many ways, with both a varying syntax and a varying semantics. As a result, several very diverse schemas and file formats can be deployed to describe geometry, depending on the application domain in question. In a multidisciplinary domain such as the domain of architecture, engineering and construction (AEC), this range of specialised schemas makes file format conversions inevitable. The approach adopted by current conversion tools, however, often results in a loss of information, most often due to a {\textquoteleft}mistranslation{\textquoteright} between different syntaxes and/or semantics, leading to errors and limitations in the design conception stage and to inefficiency due to the required remodelling efforts. An approach based on semantic web technology may reduce the loss of information significantly, leading to an improved processing of 3D information and hence to an improved design practice in the AEC domain. This paper documents our investigation of the nature of this 3D information conversion problem and how it may be encompassed using semantic web technology. In a double test case, we show how the specific deployment of semantic rule languages and an appropriate inference engine are to be adopted to improve this 3D information exchange. It shows how semantic web technology allows the coexistence of diverse descriptions of the same 3D information, interlinked through explicit conversion rules. Although only a simple example is used to document the process, and a more in-depth investigation is needed, the initial results indicate the suggested approach to be a useful alternative approach to obtain an improved 3D information exchange.},
  author       = {Pauwels, Pieter and Van Deursen, Davy and De Roo, Jos and Van Ackere, Tim and De Meyer, Ronald and Van de Walle, Rik and Van Campenhout, Jan},
  editor       = {Hanna, Sean and Regli, Bill},
  issn         = {0890-0604},
  journal      = {AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING},
  keyword      = {information exchange,reasoning,architectural design,Semantic Web,3D},
  language     = {eng},
  number       = {4},
  pages        = {317--332},
  title        = {Three-dimensional information exchange over the semantic web for the domain of architecture, engineering, and construction},
  url          = {http://dx.doi.org/10.1017/S0890060411000199},
  volume       = {25},
  year         = {2011},
}

Chicago
Pauwels, Pieter, Davy Van Deursen, Jos De Roo, Tim Van Ackere, Ronald De Meyer, Rik Van de Walle, and Jan Van Campenhout. 2011. “Three-dimensional Information Exchange over the Semantic Web for the Domain of Architecture, Engineering, and Construction.” Ed. Sean Hanna and Bill Regli. Ai Edam-artificial Intelligence for Engineering Design Analysis and Manufacturing 25 (4): 317–332.
APA
Pauwels, Pieter, Van Deursen, D., De Roo, J., Van Ackere, T., De Meyer, R., Van de Walle, R., & Van Campenhout, J. (2011). Three-dimensional information exchange over the semantic web for the domain of architecture, engineering, and construction. (S. Hanna & B. Regli, Eds.)AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 25(4), 317–332.
Vancouver
1.
Pauwels P, Van Deursen D, De Roo J, Van Ackere T, De Meyer R, Van de Walle R, et al. Three-dimensional information exchange over the semantic web for the domain of architecture, engineering, and construction. Hanna S, Regli B, editors. AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING. 2011;25(4):317–32.
MLA
Pauwels, Pieter, Davy Van Deursen, Jos De Roo, et al. “Three-dimensional Information Exchange over the Semantic Web for the Domain of Architecture, Engineering, and Construction.” Ed. Sean Hanna & Bill Regli. AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING 25.4 (2011): 317–332. Print.