Paper Info
Title
Analysing the requirements for an Open Research Knowledge Graph: use cases, quality requirements, and construction strategies
Abstract
Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get a full overview of the state of the art in a certain field, or reproducibility is hampered by fixed-length, document-based publications which normally cannot cover all details of a research work. Recently, several initiatives have proposed knowledge graphs (KG) for organising scientific information as a solution to many of the current issues. The focus of these proposals is, however, usually restricted to very specific use cases. In this paper, we aim to transcend this limited perspective and present a comprehensive analysis of requirements for an Open Research Knowledge Graph (ORKG) by (a) collecting and reviewing daily core tasks of a scientist, (b) establishing their consequential requirements for a KG-based system, (c) identifying overlaps and specificities, and their coverage in current solutions. As a result, we map necessary and desirable requirements for successful KG-based science communication, derive implications, and outline possible solutions.
Year
DOI
Venue
2022
10.1007/s00799-021-00306-x
International Journal on Digital Libraries
Keywords
DocType
Volume
Scholarly communication, Research knowledge graph, Design science research, Requirements analysis
Journal
23
Issue
ISSN
Citations 
1
1432-5012
2
PageRank 
References 
Authors
0.37
42
5
Name
Order
Citations
PageRank
Arthur Brack120.37
Hoppe Anett231.39
Markus Stocker39013.49
Sören Auer45711418.56
Ralph Ewerth522234.62