The Intersection Between Semantic Web and Materials Science

Abstract

The application and benefits of Semantic Web Technologies (SWT) for managing, sharing, and (re‐)using of research data are demonstrated in implementations in the field of Materials Science and Engineering (MSE). However, a compilation and classification are needed to fully recognize the scattered published works with its unique added values. Here, the primary use of SWT at the interface with MSE is identified using specifically created categories. This overview highlights promising opportunities for the application of SWT to MSE, such as enhancing the quality of experimental processes, enriching data with contextual information in knowledge graphs, or using ontologies to perform specific queries on semantically structured data. While interdisciplinary work between the two fields is still in its early stages, a great need is identified to facilitate access for nonexperts and develop and provide user‐friendly tools and workflows. The full potential of SWT can best be achieved in the long term by the broad acceptance and active participation of the MSE community. In perspective, these technological solutions will advance the field of MSE by making data FAIR. Data‐driven approaches will benefit from these data structures and their connections to catalyze knowledge generation in MSE.

Semantic integration of diverse data in materials science: Assessing Orowan strengthening

“…Despite the promising emerging applications and documented benefits in the literature 27 , MSE lacks practical, comprehensible examples demonstrating the steps of semantic data integration towards machine-processable knowledge representation 9 , 15 . Our work addresses this gap by developing a “good practice” Jupyter Notebook demonstrator for the MSE community.…”