Published April 28, 2022
| Version v1
Presentation
Open
Open Research Knowledge Graph - Using Human And Machine Intelligence To Generate A Scholarly Knowledge Graph
Authors/Creators
- 1. L3S - Leibniz University Hannover, TIB - Technische Informationsbibliothek
Description
The ever-increasing number of published scholarly articles imposes significant challenges in organizing scholarly knowledge. We present the Open Research Knowledge Graph (ORKG), a scholarly infrastructure that provides scholarly knowledge as structured data stored within a knowledge graph. With intelligent user interfaces, supported by machine learning, we provide tools for researchers to generate structured data for their research articles.