Requirements Analysis for an Open Research Knowledge Graph

TL;DR

This paper analyzes the requirements for an Open Research Knowledge Graph to improve science communication by addressing current issues like information overload and reproducibility, and evaluates existing solutions against these needs.

Contribution

It provides a comprehensive requirements analysis for an ORKG, identifying core tasks, necessary features, and gaps in current KG-based scientific communication solutions.

Findings

Identified key tasks of scientists for knowledge graph integration.

Mapped requirements and overlaps in existing ORKG solutions.

Outlined implications and potential solutions for effective science communication.

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 an 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 (KGs) 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 by presenting a comprehensive analysis of requirements for an Open Research Knowledge Graph (ORKG) by (a) collecting 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.