In Search of Sustainable Design Patterns: Combining Data Mining and Semantic Data Modelling on Disparate Building Data

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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › 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.

Originalsprog	Engelsk
Titel	Advances in Informatics and Computing in Civil and Construction Engineering : Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management
Redaktører	Ivan Mutis, Timo Hartmann
Udgivelsessted	Cham
Forlag	Springer
Publikationsdato	2019
Sider	19-26
Kapitel	3
ISBN (Trykt)	978-3-030-00219-0
ISBN (Elektronisk)	978-3-030-00220-6
DOI	https://doi.org/10.1007/978-3-030-00220-6_3
Status	Udgivet - 2019
Begivenhed	35th CIB W78 2018 Conference : IT in Design, Construction, and Management - Chicago, Illinois, USA Varighed: 1 okt. 2018 → 3 okt. 2018 Konferencens nummer: 35

Konference

Konference	35th CIB W78 2018 Conference : IT in Design, Construction, and Management
Nummer	35
Land/Område	USA
By	Chicago, Illinois
Periode	01/10/2018 → 03/10/2018

Emneord

BIM
Semantics
Data mining
Pattern recognition
Knowledge discovery

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

In Search of Sustainable Design Patterns - Combining Data Mining and Semantic Data Modelling on Disparate Building DataAccepteret manuskript, 646 KB

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Citationsformater

Petrova, E. A., 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. I I. Mutis, & T. Hartmann (red.), Advances in Informatics and Computing in Civil and Construction Engineering: Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management (s. 19-26). Springer. https://doi.org/10.1007/978-3-030-00220-6_3

Petrova, Ekaterina Aleksandrova ; 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. red. / Ivan Mutis ; Timo Hartmann. Cham : Springer, 2019. s. 19-26

@inproceedings{6b1309e2552a48e1ae4005631a12b24d,

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 = "BIM, Semantics, Data mining, Pattern recognition, Knowledge discovery, BIM, Semantics, Data mining, Pattern recognition, Knowledge discovery",

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

year = "2019",

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

language = "English",

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

pages = "19--26",

editor = "Ivan Mutis and Timo Hartmann",

booktitle = "Advances in Informatics and Computing in Civil and Construction Engineering",

publisher = "Springer",

address = "Germany",

note = "35th CIB W78 2018 Conference : IT in Design, Construction, and Management, CIB W78 conference ; Conference date: 01-10-2018 Through 03-10-2018",

}

Petrova, EA, Pauwels, P, Svidt, K & Jensen, RL 2019, In Search of Sustainable Design Patterns: Combining Data Mining and Semantic Data Modelling on Disparate Building Data. i I Mutis & T Hartmann (red), 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, s. 19-26, 35th CIB W78 2018 Conference : IT in Design, Construction, and Management, Chicago, Illinois, USA, 01/10/2018. 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 Aleksandrova; 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. red. / Ivan Mutis; Timo Hartmann. Cham: Springer, 2019. s. 19-26.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - In Search of Sustainable Design Patterns

T2 - 35th CIB W78 2018 Conference : IT in Design, Construction, and Management

AU - Petrova, Ekaterina Aleksandrova

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 - BIM

KW - Semantics

KW - Data mining

KW - Pattern recognition

KW - Knowledge discovery

KW - BIM

KW - Semantics

KW - Data mining

KW - Pattern recognition

KW - Knowledge discovery

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

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

M3 - Article in proceeding

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

CY - Cham

Y2 - 1 October 2018 through 3 October 2018

ER -

Petrova EA, Pauwels P, Svidt K , Jensen RL. In Search of Sustainable Design Patterns: Combining Data Mining and Semantic Data Modelling on Disparate Building Data. I Mutis I, Hartmann T, red., 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. s. 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

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