Open Research Knowledge Graph

Gold definitionUpdated Apr 2, 2026

Definition

The Open Research Knowledge Graph (ORKG) is a platform designed to transform scientific review tables and narrative text into FAIR, machine-actionable, and queryable structured knowledge. It facilitates the integration and reuse of scientific insights by both humans and machines.

At a glance

Executive summary

The Open Research Knowledge Graph (ORKG) transforms scientific review content from static text into structured, machine-readable data. This makes research findings more accessible and reusable for both humans and AI systems, particularly in fields like materials science, by enabling precise queries and supporting reliable neurosymbolic AI.

TL;DR

The Open Research Knowledge Graph converts scientific papers into structured, queryable data to make research findings easier for computers and people to use and integrate.

Key points

Transforms narrative scientific text and tables into FAIR, machine-actionable, structured knowledge.
Solves the problem of scientific insights being 'locked' in static formats, limiting reuse.
Used by researchers in materials science and relevant for neurosymbolic AI development.
Provides a curated symbolic layer for reliable querying, contrasting with standalone LLM-based approaches.
Represents a trend towards structured, semantic representation of scientific literature for AI applications.

Use cases

Automated synthesis of materials science properties from review articles for new material discovery.
Building knowledge-driven AI systems that can directly query and reason over scientific findings.
Facilitating systematic literature reviews by enabling structured comparisons of experimental results.
Developing intelligent assistants that can answer complex scientific questions by querying structured data.
Creating FAIR data repositories for specific scientific domains, like atomic layer deposition and etching.

Also known as

ORKG, Research Knowledge Graph, Scientific Knowledge Graph