SmartReviews: Towards Human- and Machine-Actionable Reviews

Oelen, Allard; Stocker, Markus; Auer, Sören

doi:10.1007/978-3-030-86324-1_22

Cited by 6 publications

(7 citation statements)

References 15 publications

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“…Here, scholarly knowledge is the essential information published in scholarly articles. The main focus of our work is to make the machine-actionable scholarly knowledge in ORKG (Papers, Comparisons, Reviews (Oelen et al, 2021)) persistently referenceable, citable and findable in global scholarly communication infrastructures. As such, our work is an important towards FAIR scholarly knowledge, i.e.…”

Section: Discussionmentioning

confidence: 99%

Persistent Identification and Interlinking of FAIR Scholarly Knowledge

Haris¹,

Stocker²,

Auer³

2022

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We leverage the Open Research Knowledge Graph -a scholarly infrastructure that supports the creation, curation, and reuse of structured, semantic scholarly knowledge -and present an approach for persistent identification of FAIR scholarly knowledge. We propose a DOI-based persistent identification of ORKG Papers, which are machine-actionable descriptions of the essential information published in scholarly articles. This enables the citability of FAIR scholarly knowledge and its discovery in global scholarly communication infrastructures (e.g., DataCite, OpenAIRE, and ORCID). While publishing, the state of the ORKG Paper is saved and cannot be further edited. To allow for updating published versions, ORKG supports creating new versions, which are linked in provenance chains. We demonstrate the linking of FAIR scholarly knowledge with digital artefacts (articles), agents (researchers) and other objects (organizations). We persistently identify FAIR scholarly knowledge (namely, ORKG Papers and ORKG Comparisons as collections of ORKG Papers) by leveraging DataCite services. Given the existing interoperability between DataCite, Crossref, OpenAIRE and ORCID, sharing metadata with DataCite ensures global findability of FAIR scholarly knowledge in scholarly communication infrastructures.

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Section: Discussionmentioning

confidence: 99%

Persistent Identification and Interlinking of FAIR Scholarly Knowledge

Haris¹,

Stocker²,

Auer³

2022

Self Cite

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“…The current review authoring and publishing method faces numerous limitations and weaknesses [19]. In recent work [21], we identified these limitations and described them in detail. Table 1 summarizes them and includes an extended list of supporting related work.…”

Section: Related Workmentioning

confidence: 99%

“…Summarized weaknesses of the current review and their respective related work. A detailed list of the weaknesses is presented in previous work [21].…”

Section: Related Workmentioning

confidence: 99%

“…The dimensions comprise: (i) Article updates (ii) Collaboration (iii) Coverage (iv) Machine-actionability (v) Accessibility (vi) Systematic representation. The approach leverages the SmartReview requirements as presented in [21].…”

Section: Approachmentioning

confidence: 99%

“…In this work, we present SmartReviews, a novel tool to author and publish review articles. The tool implements the requirements from the equally named SmartReview approach [21] which addresses the weaknesses from which current review articles are suffering. Reviews are authored in a community-based manner and are represented as living documents, meaning that they can be updated whenever deemed necessary by the community.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Oelen,

Stocker,

Auer

2021

Preprint

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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 machineactionable 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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Reviews and Reviewing: Approaches to Research Synthesis. An Annual Review of Information Science and Technology (ARIST) paper

Smith

2023

Asso for Info Science & Tech

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Reviews have long been recognized as among the most important forms of scientific communication. The rapid growth of the primary literature has further increased the need for reviews to distill and interpret the literature. This review on Reviews and Reviewing: Approaches to Research Synthesis encompasses the evolution of the review literature, taxonomy of review literature, uses and users of reviews, the process of preparing reviews, assessment of review quality and impact, the impact of information technology on the preparation of reviews, and research opportunities for information science related to reviews and reviewing. In addition to providing a synthesis of prior research, this review seeks to identify gaps in the published research and to suggest possible future research directions.

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SmartReviews: Towards Human- and Machine-Actionable Reviews

Cited by 6 publications

References 15 publications

Persistent Identification and Interlinking of FAIR Scholarly Knowledge

Persistent Identification and Interlinking of FAIR Scholarly Knowledge

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

Reviews and Reviewing: Approaches to Research Synthesis. An Annual Review of Information Science and Technology (ARIST) paper

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