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SmartReviews: Towards Human- and Machine-Actionable Representation of Review Articles

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Towards Open and Trustworthy Digital Societies (ICADL 2021)

Abstract

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.

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Notes

  1. 1.

    https://gitlab.com/TIBHannover/orkg/orkg-frontend/-/tree/master/src/components/SmartReview.

  2. 2.

    https://doi.org/10.5446/53601.

  3. 3.

    http://purl.org/spar/doco,fabio,deo.

  4. 4.

    https://www.orkg.org/orkg/smart-review/R135360.

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Acknowledgements

This work was co-funded by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536) and the TIB Leibniz Information Centre for Science and Technology.

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Correspondence to Allard Oelen .

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Oelen, A., Stocker, M., Auer, S. (2021). SmartReviews: Towards Human- and Machine-Actionable Representation of Review Articles. In: Ke, HR., Lee, C.S., Sugiyama, K. (eds) Towards Open and Trustworthy Digital Societies. ICADL 2021. Lecture Notes in Computer Science(), vol 13133. Springer, Cham. https://doi.org/10.1007/978-3-030-91669-5_9

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  • DOI: https://doi.org/10.1007/978-3-030-91669-5_9

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