Data structuring for the ontological modelling of wind energy systems
This work addresses data integration challenges for stakeholders in small-scale wind energy projects, though it appears incremental as it applies existing ontological methods to a specific domain.
The authors tackled the problem of inefficient deployment of small wind projects due to poor data management by engineering an ontology using description logic to integrate heterogeneous knowledge and automate compliance checks with regulations.
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.