A Linked Data extraction architecture for engineering software tools

Tracking #: 1665-2877

This paper is currently under review
Jad El-khoury
Andrii Berezovskyi
Mattias Nyberg

Responsible editor: 
Jens Lehmann

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Full Paper
New industrial initiatives such as Industrie 4.0 rely on digital end-to-end engineering across the entire product lifecycle, which in turn depends on the ability of the supporting software tools to interoperate. A tool interoperability approach based on Linked Data has the potential to provide such integration, where each software tool can expose its information and services to other tools using the web as a common technology base. In this paper, we report on our negative findings when attempting to use existing Linked Data extraction techniques to expose the structured content managed in engineering tools. Such techniques typically target the storage facility to extract and transform its content, with the assumption that sufficient information is available within the facility to automate the process. Based on a case study with the truck manufacturer Scania CV AB, our study finds that an engineering tool manages its artefacts using business logic that is not necessarily reflected in the storage facility. This renders existing extraction techniques inadequate. Instead we propose an alternative Linked Data extraction architecture that can mitigate the identified shortcomings. While less automated compared to the existing solutions, the proposed architecture is realised as a standalone library that can still facilitate the extraction process.
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