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Semantic Smart Readiness Indicator Framework
Stefan Bischof, Erwin Filtz, Josiane Xavier Parreira
176 - 190
10.3233/SSW240015
Research Article
Studies on the Semantic Web
Volume 60: Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI
Abstract

Purpose:

The Smart Readiness Indicator (SRI) is an energy rating scheme targeted at buildings to evaluate their capacity to integrate and benefit from smart technologies for enhanced energy efficiency and overall performance. Existing tools for SRI assessment and rating do not provide a standard format for data exchange. However, there are several scenarios in which a FAIR, standardised data format is beneficial, such as data exchange between building tools, comparison of different assessments, or computing statistics about buildings.

Methodology:

We propose the Semantic Smart Readiness Indicator framework, consisting of an SRI information model and a SPARQL-based SRI score calculation. We follow the Linked Open Terms ontology engineering method by specifying the use case from which the requirements and competency questions are derived. We reuse existing ontologies and extend them to create the SRI ontology.

Findings:

The model is published according to the FAIR principles. Moreover, it is flexible to accommodate specific SRI requirements, and can be aligned with existing semantic building models to facilitate data linking and exchange. The score calculation, in turn, is composed of multiple SPARQL queries defined over the model.

Value:

In this paper, we describe our proposed framework, the ontology engineering process, and the evaluation of both the model and the SPARQL-based SRI calculation. All the resources are openly available for reuse.

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