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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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.

Original language	English
Title of host publication	Advances in informatics and computing in civil and construction engineering
Subtitle of host publication	Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management
Editors	Ivan Mutis, Timo Hartmann
Place of Publication	Cham
Publisher	Springer
Pages	19-26
Number of pages	8
ISBN (Electronic)	978-3-030-00220-6
ISBN (Print)	978-3-030-00219-0
DOIs	https://doi.org/10.1007/978-3-030-00220-6_3
Publication status	Published - 2019
Externally published	Yes
Event	35th CIB W78 2018 Conference: IT in Design, Construction, and Management Chicago, Illinois, United States - Sheraton Grand Hotel, Chicago, United States Duration: 1 Oct 2018 → 3 Oct 2018 Conference number: 35 http://mypages.iit.edu/~cibw78/

Conference

Conference	35th CIB W78 2018 Conference
Abbreviated title	CIB W78
Country/Territory	United States
City	Chicago
Period	1/10/18 → 3/10/18
Internet address	http://mypages.iit.edu/~cibw78/

Bibliographical note

ugent:id 8576024 ugent:classification C1

Keywords

knowledge discovery
BIM
semantics
data mining
pattern recognition

Access to Document

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

Cite this

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 (Eds.), Advances in informatics and computing in civil and construction engineering: Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management (pp. 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. editor / Ivan Mutis ; Timo Hartmann. Cham : Springer, 2019. pp. 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.",

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

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

language = "English",

isbn = "978-3-030-00219-0",

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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 (eds), 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, pp. 19-26, 35th CIB W78 2018 Conference, Chicago, Illinois, United States, 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. ed. / Ivan Mutis; Timo Hartmann. Cham: Springer, 2019. p. 19-26.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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

U2 - 10.1007/978-3-030-00220-6_3

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

M3 - Conference contribution

SN - 978-3-030-00219-0

SP - 19

EP - 26

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

A2 - Mutis, Ivan

A2 - Hartmann, Timo

PB - Springer

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T2 - 35th CIB W78 2018 Conference

Y2 - 1 October 2018 through 3 October 2018

ER -

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, 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. Cham: Springer. 2019. p. 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

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Cite this