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.

Files

Open Research Knowledge Graph - Using Human And Machine Intelligence To Generate A Scholarly Knowledge Graph - Allard Oelen.pdf