Review articles are a means to structure state-of-the-art literature and to organize the growing number of scholarly publications. However, review articles are suffering from numerous limitations, weakening the impact the articles could potentially have. A key limitation is the inability of machines to access and process knowledge presented within review articles. In this work, we present SmartReviews, a review authoring and publishing tool, specifically addressing the limitations of review articles. The tool enables community-based authoring of living articles, leveraging a scholarly knowledge graph to provide machine-actionable knowledge. We evaluate the approach and tool by means of a SmartReview use case. The results indicate that the evaluated article is successfully addressing the weaknesses of the current review practices.
@article{arxiv.2111.15342,
title = {SmartReviews: Towards Human- and Machine-actionable Representation of Review Articles},
author = {Allard Oelen and Markus Stocker and Sören Auer},
journal= {arXiv preprint arXiv:2111.15342},
year = {2021}
}