Generating metadata schema for data-driven smart buildings
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)
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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.