Data structuring for the ontological modelling of wind energy systems
  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.
