Harmonizing Input Data for Digital Building Twin: Energy Efficiency Use Case

Abstract: In this article, we present an “Harmonizer module”, based on RML mapping language, SPARQL and RDF, which allows importing heterogeneous data sources into a unique Building Energy Analysis oriented ontology. This work is being performed in the context of the H2020 BIGG project . The Harmonizer module receives inputs from different kind of building energy analysis data, formats them and maps them to the concepts defined in the BIGG ontology. This paper will introduce the objectives of the BIGG project, a description of the BIGG ontology before describing the workflow and the functionalities of the Harmonizer module, it’s implementation and current results.