An approach based on open research knowledge graph for knowledge acquisition from scientific papers
ISSN: 0264-0473
Article publication date: 5 June 2024
Issue publication date: 27 June 2024
Abstract
Purpose
This paper aims to curate open research knowledge graph (ORKG) with papers related to ontology learning and define an approach using ORKG as a computer-assisted tool to organize key-insights extracted from research papers.
Design/methodology/approach
Action research was used to explore, test and evaluate the use of the Open Research Knowledge Graph as a computer assistant tool for knowledge acquisition from scientific papers.
Findings
To extract, structure and describe research contributions, the granularity of information should be decided; to facilitate the comparison of scientific papers, one should design a common template that will be used to describe the state of the art of a domain.
Originality/value
This approach is currently used to document “food information engineering,” “tabular data to knowledge graph matching” and “question answering” research problems and the “neurosymbolic AI” domain. More than 200 papers are ingested in ORKG. From these papers, more than 800 contributions are documented and these contributions are used to build over 100 comparison tables. At the end of this work, we found that ORKG is a valuable tool that can reduce the working curve of state-of-the-art research.
Keywords
Acknowledgements
The authors are grateful to the Open Research Knowledge Graph team for their following during the curation of ORKG. The authors also thank all the curators. Their remarks and questions were very helpful in this work.
Credit authorship contribution statement: All the authors contributed to the final edition and approval of the manuscript.
Citation
Jiomekong, A. and Tiwari, S. (2024), "An approach based on open research knowledge graph for knowledge acquisition from scientific papers", The Electronic Library, Vol. 42 No. 3, pp. 413-442. https://doi.org/10.1108/EL-06-2023-0154
Publisher
:Emerald Publishing Limited
Copyright © 2024, Emerald Publishing Limited