Generating metadata schema for data-driven smart buildings

Conference Paper (2023)
Author(s)

L. Chamari (Eindhoven University of Technology)

J.A.M. van der Weijden (TU Delft - Projects I&IC)

L. Boonstra (TU Delft - R&D / Innovation)

W.S. Hoekstra (TU Delft - Projects I&IC)

E. Petrova (Eindhoven University of Technology)

Pieter Pauwels (Eindhoven University of Technology)

Research Group
Projects I&IC
Copyright
© 2023 L. Chamari, J.A.M. van der Weijden, L. Boonstra, W.S. Hoekstra, E. Petrova, P. Pauwels
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 L. Chamari, J.A.M. van der Weijden, L. Boonstra, W.S. Hoekstra, E. Petrova, P. Pauwels
Research Group
Projects I&IC
Pages (from-to)
38-41
ISBN (electronic)
978-90-386-5717-2
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The integration of data from a variety of systems is critical for developing smart building applications. Design, construction, maintenance, energy management, and automation data are among few. For this integration, having a comprehensive metadata schema is crucial. Semantic web technologies and domain ontologies have been proposed as a means of modeling and linking domains and their relationships. This study proposes a semiautomatic metadata schema generator that combines an ontology database and a text search engine to generate a metadata schema. The proposed method is tested for a real-world building, and the resulting metadata schema is used to link timeseries data to the sensors and equipment in the building automation system.