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

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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, focuses 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 in-formation 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.
Keywords
BIM, linked data, Semantics

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Chicago
Schneider, Georg Ferdinand, Mads Holten Rasmussen, Peter Bonsma, Jyrki Oraskari, and Pieter Pauwels. 2018. “Linked Building Data for Modular Building Information Modelling of a Smart Home.” In Proceedings of the 11th European Conference on Product and Process Modelling, ed. Jan Karlshoj and Raimar Scherer, 407–414. CRC Press.
APA
Schneider, G. F., Rasmussen, M. H., Bonsma, P., Oraskari, J., & Pauwels, P. (2018). Linked building data for modular building information modelling of a smart home. In J. Karlshoj & R. Scherer (Eds.), Proceedings of the 11th European Conference on Product and Process Modelling (pp. 407–414). Presented at the 11th European Conference on Product and Process Modelling, CRC Press.
Vancouver
1.
Schneider GF, Rasmussen MH, Bonsma P, Oraskari J, Pauwels P. Linked building data for modular building information modelling of a smart home. In: Karlshoj J, Scherer R, editors. Proceedings of the 11th European Conference on Product and Process Modelling. CRC Press; 2018. p. 407–14.
MLA
Schneider, Georg Ferdinand, Mads Holten Rasmussen, Peter Bonsma, et al. “Linked Building Data for Modular Building Information Modelling of a Smart Home.” Proceedings of the 11th European Conference on Product and Process Modelling. Ed. Jan Karlshoj & Raimar Scherer. CRC Press, 2018. 407–414. Print.
@inproceedings{8576819,
  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, focuses 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 in-formation 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.},
  author       = {Schneider, Georg Ferdinand and Rasmussen, Mads Holten and Bonsma, Peter and Oraskari, Jyrki and Pauwels, Pieter},
  booktitle    = {Proceedings of the 11th European Conference on Product and Process Modelling},
  editor       = {Karlshoj, Jan and Scherer, Raimar},
  keyword      = {BIM,linked data,Semantics},
  language     = {eng},
  location     = {Copenhagen, Denmark},
  pages        = {407--414},
  publisher    = {CRC Press},
  title        = {Linked building data for modular building information modelling of a smart home},
  year         = {2018},
}