Research Article: “Generate FAIR Literature Surveys with Scholarly Knowledge Graphs” (Preprint)

The following article (preprint) was recently posted to arXiv.

Title

Generate FAIR Literature Surveys with Scholarly Knowledge Graphs

Authors

Allard Oelen
L3S Research Center, Leibniz University

Markus Stocker
TIB Leibniz Information Centre for Science and Technology

Mohamad Yaser Jaradeh
L3S Research Center, Leibniz University

Sören Auer
TIB Leibniz Information Centre for Science andTechnology & L3S Research Center

Source

via arXiv

Abstract

Reviewing scientific literature is a cumbersome, time consuming but crucial activity in research. Leveraging a scholarly knowledge graph, we present a methodology and a system for comparing scholarly literature, in particular research contributions describing the addressed problem, utilized materials, employed methods and yielded results. The system can be used by researchers to quickly get familiar with existing work in a specific research domain (e.g., a concrete research question or hypothesis). Additionally, it can be used to publish literature surveys following the FAIR Data Principles. The methodology to create a research contribution comparison consists of multiple tasks, specifically: (a) finding similar contributions, (b) aligning contribution descriptions, (c) visualizing and finally (d) publishing the comparison. The methodology is implemented within the Open Research Knowledge Graph (ORKG), a scholarly infrastructure that enables researchers to collaboratively describe, find and compare research contributions. We evaluate the implementation using data extracted from published review articles. The evaluation also addresses the FAIRness of comparisons published with the ORKG.

Direct to Full Text Article (preprint)

See Also: Conference Paper: “Requirements Analysis for an Open Research Knowledge Graph” (Preprint)

See Also: (By the Same Authors): Question Answering on Scholarly Knowledge Graphs

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