Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies

TL;DR

This paper analyzes the requirements for an Open Research Knowledge Graph to improve science communication by reviewing scientific tasks, identifying needs, and evaluating current solutions.

Contribution

It provides a comprehensive analysis of core scientific tasks and their requirements for an open knowledge graph, extending beyond specific use cases.

Findings

Identified key requirements for an effective ORKG

Mapped overlaps and gaps in current solutions

Outlined strategies for constructing an ORKG

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.