Cross-sectional dataset combines building performance and cadastral data, highlighting energy efficiency measures for property owners and policymakers.
The Cross-sectional buildings energy benchmarking knowledge graph is a dataset defined within the framework of one of the Building Information aGGregation, harmonisation and analytics platform (BIGG) Horizon 2020 project's Business Cases. It is a combination of Semantic Web assets whose main objective is integrating cadastral data, following the Infrastructure for Spatial Information in Europe (INSPIRE) standard, with Building Performance Certifications (BPCs). The dataset can be exploited to provide valuable information for politicians, energy managers and property owners, e.g. to set clear objective zones in the formulation of subsidy policies, implement localized energy efficiency measures, or compare an owned property against its peer group benchmark in terms of energy efficiency. When published using a GeoSPARQL-enabled endpoint, a data consumer can perform on-the-fly geographical and KPIs aggregations with valuable outputs such as heat maps, frequency distributions, and more.
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Martínez-Sarmiento et al. (2025) studied this question.
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