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

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Advances in Informatics and Computing in Civil and Construction Engineering

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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Notes

  1. 1.

    https://www.w3.org/community/lbd/.

  2. 2.

    https://w3id.org/saref.

  3. 3.

    https://www.w3.org/TR/vocab-ssn/.

  4. 4.

    https://www.w3.org/ns/sosa/.

  5. 5.

    http://users.ugent.be/~pipauwel/CIBW78_additionaldata.html.

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Acknowledgements

The authors would like to thank Dr. Mads Lauridsen and Aalborg Municipality for providing access to the sensor data used to perform the experiment.

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Authors and Affiliations

  1. Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, Aalborg, Denmark

    Ekaterina Petrova, Kjeld Svidt & Rasmus Lund Jensen

  2. Department of Architecture and Urban Planning, Ghent University, J. Plateaustraat 22, Ghent, Belgium

    Pieter Pauwels

Authors
  1. Ekaterina Petrova
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  2. Pieter Pauwels
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  3. Kjeld Svidt
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  4. Rasmus Lund Jensen
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Corresponding author

Correspondence to Ekaterina Petrova .

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Editors and Affiliations

  1. CAEE, Illinois Institute of Technology, Chicago, IL, USA

    Ivan Mutis

  2. Institute of Civil Engineering, TU Berlin, Berlin, Germany

    Timo Hartmann

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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: Mutis, I., Hartmann, T. (eds) Advances in Informatics and Computing in Civil and Construction Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-00220-6_3

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  • DOI: https://doi.org/10.1007/978-3-030-00220-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00219-0

  • Online ISBN: 978-3-030-00220-6

  • eBook Packages: EngineeringEngineering (R0)

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