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Generate FAIR Literature Surveys with Scholarly Knowledge Graphs

Title: Generate FAIR Literature Surveys with Scholarly Knowledge Graphs
Authors: Oelen, A.; Jaradeh, M. Y.; Stocker, M.; Auer, S.
Publication Year: 2020
Collection: Computer Science
Subject Terms: Computer Science - Digital Libraries
Description: 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.
Document Type: Working Paper
DOI: 10.1145/3383583.3398520
Access URL: http://arxiv.org/abs/2006.01747
Accession Number: edsarx.2006.01747
Database: arXiv