Data structuring for the ontological modelling of wind energy systems

TL;DR

This paper develops an ontology-based semantic framework using description logic to improve data management and regulatory compliance checking in small-scale wind energy projects.

Contribution

It introduces a novel ontology for wind energy systems that integrates heterogeneous knowledge sources to facilitate project initialization and compliance verification.

Findings

Ontology effectively integrates diverse data sources.

Automated compliance checking demonstrated in a use case.

Enhances data management for small wind projects.

Abstract

Small wind projects encounter difficulties to be efficiently deployed, partly because wrong way data and information are managed. Ontologies can overcome the drawbacks of partially available, noisy, inconsistent, and heterogeneous data sources, by providing a semantic middleware between low level data and more general knowledge. In this paper, we engineer an ontology for the wind energy domain using description logic as technical instrumentation. We aim to integrate corpus of heterogeneous knowledge, both digital and human, in order to help the interested user to speed-up the initialization of a small-scale wind project. We exemplify one use case scenario of our ontology, that consists of automatically checking whether a planned wind project is compliant or not with the active regulations.