In search of sustainable design patterns: combining data mining and semantic data modelling on disparate building data

Ekaterina Petrova; Pieter Pauwels; Kjeld Svidt; Rasmus Lund Jensen

doi:10.1007/978-3-030-00220-6_3

In search of sustainable design patterns: combining data mining and semantic data modelling on disparate building data

Ekaterina Petrova
, Pieter Pauwels
, Kjeld Svidt
, Rasmus Lund Jensen

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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Cross-domain analytical techniques have made the prediction of outcomes in building design more accurate. Yet, many decisions are based on rules of thumb and previous experiences, and not on documented evidence. That results in inaccurate predictions and a difference between predicted and actual building performance. This article aims to reduce the occurrence of such errors using a combination of data mining and semantic modelling techniques, by deploying these technologies in a use case, for which sensor data is collected. The results present a semantic building data graph enriched with discovered motifs and association rules in observed properties. We conclude that the combination of semantic modelling and data mining techniques can contribute to creating a repository of building data for design decision support.

Originele taal-2	Engels
Titel	Advances in informatics and computing in civil and construction engineering
Subtitel	Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management
Redacteuren	Ivan Mutis, Timo Hartmann
Plaats van productie	Cham
Uitgeverij	Springer
Pagina's	19-26
Aantal pagina's	8
ISBN van elektronische versie	978-3-030-00220-6
ISBN van geprinte versie	978-3-030-00219-0
DOI's	https://doi.org/10.1007/978-3-030-00220-6_3
Status	Gepubliceerd - 2019
Extern gepubliceerd	Ja
Evenement	35th CIB W78 2018 Conference: IT in Design, Construction, and Management Chicago, Illinois, United States - Sheraton Grand Hotel, Chicago, Verenigde Staten van Amerika Duur: 1 okt. 2018 → 3 okt. 2018 Congresnummer: 35 http://mypages.iit.edu/~cibw78/

Congres

Congres	35th CIB W78 2018 Conference
Verkorte titel	CIB W78
Land/Regio	Verenigde Staten van Amerika
Stad	Chicago
Periode	1/10/18 → 3/10/18
Internet adres	http://mypages.iit.edu/~cibw78/

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ugent:id 8576024 ugent:classification C1

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10.1007/978-3-030-00220-6_3

Citeer dit

Petrova, E., Pauwels, P., Svidt, K., & Jensen, R. L. (2019). In search of sustainable design patterns: combining data mining and semantic data modelling on disparate building data. In I. Mutis, & T. Hartmann (editors), Advances in informatics and computing in civil and construction engineering: Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management (blz. 19-26). Springer. https://doi.org/10.1007/978-3-030-00220-6_3

Petrova, Ekaterina ; Pauwels, Pieter ; Svidt, Kjeld et al. / In search of sustainable design patterns: combining data mining and semantic data modelling on disparate building data. Advances in informatics and computing in civil and construction engineering: Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management. redacteur / Ivan Mutis ; Timo Hartmann. Cham : Springer, 2019. blz. 19-26

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title = "In search of sustainable design patterns: combining data mining and semantic data modelling on disparate building data",

abstract = "Cross-domain analytical techniques have made the prediction of outcomes in building design more accurate. Yet, many decisions are based on rules of thumb and previous experiences, and not on documented evidence. That results in inaccurate predictions and a difference between predicted and actual building performance. This article aims to reduce the occurrence of such errors using a combination of data mining and semantic modelling techniques, by deploying these technologies in a use case, for which sensor data is collected. The results present a semantic building data graph enriched with discovered motifs and association rules in observed properties. We conclude that the combination of semantic modelling and data mining techniques can contribute to creating a repository of building data for design decision support.",

keywords = "knowledge discovery, BIM, semantics, data mining, pattern recognition",

author = "Ekaterina Petrova and Pieter Pauwels and Kjeld Svidt and Jensen, \{Rasmus Lund\}",

note = "ugent:id 8576024 ugent:classification C1; 35th CIB W78 2018 Conference : IT in Design, Construction, and Management Chicago, Illinois, United States, CIB W78 ; Conference date: 01-10-2018 Through 03-10-2018",

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doi = "10.1007/978-3-030-00220-6\_3",

language = "English",

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editor = "Ivan Mutis and Timo Hartmann",

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Petrova, E , Pauwels, P, Svidt, K & Jensen, RL 2019, In search of sustainable design patterns: combining data mining and semantic data modelling on disparate building data. in I Mutis & T Hartmann (reds.), Advances in informatics and computing in civil and construction engineering: Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management. Springer, Cham, blz. 19-26, 35th CIB W78 2018 Conference, Chicago, Illinois, Verenigde Staten van Amerika, 1/10/18. https://doi.org/10.1007/978-3-030-00220-6_3

In search of sustainable design patterns: combining data mining and semantic data modelling on disparate building data. / Petrova, Ekaterina ; Pauwels, Pieter; Svidt, Kjeld et al.
Advances in informatics and computing in civil and construction engineering: Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management. reds. / Ivan Mutis; Timo Hartmann. Cham: Springer, 2019. blz. 19-26.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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T1 - In search of sustainable design patterns: combining data mining and semantic data modelling on disparate building data

AU - Petrova, Ekaterina

AU - Pauwels, Pieter

AU - Svidt, Kjeld

AU - Jensen, Rasmus Lund

N1 - Conference code: 35

PY - 2019

Y1 - 2019

N2 - Cross-domain analytical techniques have made the prediction of outcomes in building design more accurate. Yet, many decisions are based on rules of thumb and previous experiences, and not on documented evidence. That results in inaccurate predictions and a difference between predicted and actual building performance. This article aims to reduce the occurrence of such errors using a combination of data mining and semantic modelling techniques, by deploying these technologies in a use case, for which sensor data is collected. The results present a semantic building data graph enriched with discovered motifs and association rules in observed properties. We conclude that the combination of semantic modelling and data mining techniques can contribute to creating a repository of building data for design decision support.

AB - Cross-domain analytical techniques have made the prediction of outcomes in building design more accurate. Yet, many decisions are based on rules of thumb and previous experiences, and not on documented evidence. That results in inaccurate predictions and a difference between predicted and actual building performance. This article aims to reduce the occurrence of such errors using a combination of data mining and semantic modelling techniques, by deploying these technologies in a use case, for which sensor data is collected. The results present a semantic building data graph enriched with discovered motifs and association rules in observed properties. We conclude that the combination of semantic modelling and data mining techniques can contribute to creating a repository of building data for design decision support.

KW - knowledge discovery

KW - BIM

KW - semantics

KW - data mining

KW - pattern recognition

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BT - Advances in informatics and computing in civil and construction engineering

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Petrova E , Pauwels P, Svidt K, Jensen RL. In search of sustainable design patterns: combining data mining and semantic data modelling on disparate building data. In Mutis I, Hartmann T, redacteurs, Advances in informatics and computing in civil and construction engineering: Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management. Cham: Springer. 2019. blz. 19-26 doi: 10.1007/978-3-030-00220-6_3

In search of sustainable design patterns: combining data mining and semantic data modelling on disparate building data

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