By J. El-khoury, A. Berezovskyi och M. Nyberg,
Published in Journal of Industrial Information Integration, vol. 15, s. 58-68, 2019.
In this article, we explore why typical ETL (Extract, Transform, Load) techniques are inadequate when used to access data from engineering applications. Such techniques typically target the Data Access Layer (DAL) of a application, with the assumption that sufficient information and control is available within this layer. This misses the application’s business logic that is not necessarily reflected at the data layer. Instead we propose an alternative Linked Data extraction architecture. While less automated compared to the existing solutions, the proposed architecture is realised as a standalone library that can still facilitate the extraction process. The study is based on a case study with the truck manufacturer Scania CV AB.