Linked building data for modular building information modelling of a smart home

G. F. Schneider; M. H. Rasmussen; P. Bonsma; J. Oraskari; P. Pauwels

Linked building data for modular building information modelling of a smart home

G. F. Schneider^*, M. H. Rasmussen, P. Bonsma, J. Oraskari, P. Pauwels

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Linked data and semantic web technologies offer promising characteristics in terms of meaningful integration of disparate information sources in the built environment and their exchange on a web scale. The current state of the art, however, focusses on large and monolithic schemas, which poses serious barriers for the effortless development of intelligent applications consuming this information. In this work, we propose a modular approach leveraging on the semantic integration capabilities of linked data to enable seamless information exchange among stakeholders in the exchange process as well as accessing it for web-based applications. We study the methodology by applying it to a use case related to the Open Smart Home Data Set; a data set obtained from a real-world smart home system.

Original language	English
Title of host publication	eWork and eBusiness in Architecture, Engineering and Construction
Editors	J. Karlshoj, R. Scherer
Number of pages	8
Publisher	CRC Press
Publication date	2018
Pages	407-414
ISBN (Print)	978-1-138-58413-6
Publication status	Published - 2018
Event	12th European Conference on Product and Process Modelling - København, Denmark Duration: 12 Sept 2018 → 14 Sept 2018 Conference number: 12 https://www.ecppm2018.org/

Conference

Conference	12th European Conference on Product and Process Modelling
Number	12
Country/Territory	Denmark
City	København
Period	12/09/2018 → 14/09/2018
Internet address	https://www.ecppm2018.org/

Keywords

SEMANTIC WEB
INDUSTRY

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@inproceedings{6b27f9e9a4e4458f8f9f4f755ce14690,

title = "Linked building data for modular building information modelling of a smart home",

abstract = "Linked data and semantic web technologies offer promising characteristics in terms of meaningful integration of disparate information sources in the built environment and their exchange on a web scale. The current state of the art, however, focusses on large and monolithic schemas, which poses serious barriers for the effortless development of intelligent applications consuming this information. In this work, we propose a modular approach leveraging on the semantic integration capabilities of linked data to enable seamless information exchange among stakeholders in the exchange process as well as accessing it for web-based applications. We study the methodology by applying it to a use case related to the Open Smart Home Data Set; a data set obtained from a real-world smart home system.",

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language = "English",

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pages = "407--414",

editor = "J. Karlshoj and R. Scherer",

booktitle = "eWork and eBusiness in Architecture, Engineering and Construction",

publisher = "CRC Press",

note = "12th European Conference on Product and Process Modelling, ECPPM 2018 ; Conference date: 12-09-2018 Through 14-09-2018",

url = "https://www.ecppm2018.org/",

}

Linked building data for modular building information modelling of a smart home. / Schneider, G. F.; Rasmussen, M. H.; Bonsma, P. et al.
eWork and eBusiness in Architecture, Engineering and Construction. ed. / J. Karlshoj; R. Scherer. CRC Press, 2018. p. 407-414.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Linked building data for modular building information modelling of a smart home

AU - Schneider, G. F.

AU - Rasmussen, M. H.

AU - Bonsma, P.

AU - Oraskari, J.

AU - Pauwels, P.

N1 - Conference code: 12

PY - 2018

Y1 - 2018

N2 - Linked data and semantic web technologies offer promising characteristics in terms of meaningful integration of disparate information sources in the built environment and their exchange on a web scale. The current state of the art, however, focusses on large and monolithic schemas, which poses serious barriers for the effortless development of intelligent applications consuming this information. In this work, we propose a modular approach leveraging on the semantic integration capabilities of linked data to enable seamless information exchange among stakeholders in the exchange process as well as accessing it for web-based applications. We study the methodology by applying it to a use case related to the Open Smart Home Data Set; a data set obtained from a real-world smart home system.

AB - Linked data and semantic web technologies offer promising characteristics in terms of meaningful integration of disparate information sources in the built environment and their exchange on a web scale. The current state of the art, however, focusses on large and monolithic schemas, which poses serious barriers for the effortless development of intelligent applications consuming this information. In this work, we propose a modular approach leveraging on the semantic integration capabilities of linked data to enable seamless information exchange among stakeholders in the exchange process as well as accessing it for web-based applications. We study the methodology by applying it to a use case related to the Open Smart Home Data Set; a data set obtained from a real-world smart home system.

KW - SEMANTIC WEB

KW - INDUSTRY

M3 - Article in proceedings

SN - 978-1-138-58413-6

SP - 407

EP - 414

BT - eWork and eBusiness in Architecture, Engineering and Construction

A2 - Karlshoj, J.

A2 - Scherer, R.

PB - CRC Press

T2 - 12th European Conference on Product and Process Modelling

Y2 - 12 September 2018 through 14 September 2018

ER -

Linked building data for modular building information modelling of a smart home

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Conference

Keywords

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