Schema matching based on energy domain pre-trained language model

Energy Informatics, vol. 6

Abstract

Abstract Data integration in the energy sector, which refers to the process of combining and harmonizing data from multiple heterogeneous sources, is becoming increasingly difficult due to the growing volume of heterogeneous data. 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. This study uses an energy domain language model to automate schema matching, reducing manual effort in integrating heterogeneous data. We developed two energy domain language models, Energy BERT and Energy Sentence Bert, and trained them using an open-source scientific corpus. The comparison of the developed models with the baseline model using real-life energy domain data shows that Energy BERT and Energy Sentence Bert models significantly improve the accuracy of schema matching.

Authors 3

1. Zhiyu Pan corresponding Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems, RWTH Aachen University, Aachen, Germany

   Institute for Automation of Complex Power Systems, RWTH Aachen University, Mathieustraße 10, 52074, Aachen, Germany

2. Muchen Yang Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems, RWTH Aachen University, Aachen, Germany

   Institute for Automation of Complex Power Systems, RWTH Aachen University, Mathieustraße 10, 52074, Aachen, Germany

3. Antonello Monti Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University · Fraunhofer Institute for Applied Information Technology

   Affiliation as printed

   Fraunhofer FIT, Sankt Augustin, Germany

   Institute for Automation of Complex Power Systems, RWTH Aachen University, Aachen, Germany

   Institute for Automation of Complex Power Systems, RWTH Aachen University, Mathieustraße 10, 52074, Aachen, Germany