From patterns to evidence: Enhancing sustainable building design with pattern recognition and information retrieval approaches

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1 Citationer (Scopus)

Abstrakt

Decision-making in design and engineering relies little on knowledge discovered in previous projects and embedded in digital data. Applying analytical computational techniques to available data and pro- cesses can be of significant influence for infusing decision-making with the evidence-based character that it is currently lacking. The design environment is where decisions are implemented, therefore, we aim to endow it with knowledge discovered in previous projects and existing buildings. We use an approach that combines data mining and semantic modelling for case-based design (CBD). We investigate the character of the active design environment, what queries can be constructed automatically from the data available in that environment, and how they can be executed against a repository of design models and performance patterns obtained using Knowledge Discovery in Databases (KDD) and various machine learning approaches. We demonstrate this approach on a use case, highlighting its potential for evidence-based design decision support.
OriginalsprogEngelsk
TiteleWork and eBusiness in Architecture, Engineering and Construction : Proceedings of the 12th European Conference on Product and Process Modelling (ECPPM 2018)
RedaktørerJan Karlshøj, Raimar Scherer
UdgivelsesstedLondon
ForlagCRC Press/Balkema
Publikationsdato2018
Sider391-399
ISBN (Trykt)978-1-138-58413-6
ISBN (Elektronisk)978-0-429-50621-5
DOI
StatusUdgivet - 2018
BegivenhedThe 12th European Conference on Product and Process Modelling 2018 - Copenhagen, Danmark
Varighed: 12 sep. 201814 sep. 2018

Konference

KonferenceThe 12th European Conference on Product and Process Modelling 2018
LandDanmark
ByCopenhagen
Periode12/09/201814/09/2018

Emneord

  • Pattern recognition
  • Information retrieval
  • Sustainable design
  • BIM
  • Semantics
  • Knowledge discovery in databases

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