Document Type
Article
Publication Date
2024
Publisher
Elsevier
Source Publication
Journal of Dental Sciences
Source ISSN
1991-7902
Original Item ID
DOI: 10.1080/12460125.2023.2197705
Abstract
Current literature reviewing approaches rely on using keywords to search for relevant articles, reading them, and manually synthesising their knowledge. This approach is inefficient and limits the pace of scientific progress. We have developed a graph-based approach to digitising knowledge to address such issues. The method focuses on coding the core knowledge in publications (i.e. causal or process models) as directed graphs following a well-defined regimen and combining the directed graphs into a labelled property graph database. We provide guidance on coding publications as graphs using a graph query language. An application has been developed to facilitate scholars to code publications as graphs to load into a graph database. We discuss the contributions of the method for literature reviewing.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Song, Yuanyuan (April); Zhao, Xia; and Watson, Richard T., "Digitised Knowledge-Based Literature Reviewing: A Tutorial on Coding Causal and Process Models as Graphs" (2024). Management Faculty Research and Publications. 406.
https://epublications.marquette.edu/mgmt_fac/406
Comments
Published version. Journal of Dental Sciences, Vol. 33, No. 4 (2024): 601-612. DOI. © 2023 The Authors, Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.