Schema matching plays a crucial role in this process by giving each representation a unique identity by matching raw energy data to a generic data model. We developed an energy domain language model, Energy BERT, which was trained them using an open-source scientific corpus. Energy BERT can be used to automate schema matching, reducing manual effort in integrating heterogeneous data.
