Published April 28, 2022
| Version v1
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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.
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Open Research Knowledge Graph - Using Human And Machine Intelligence To Generate A Scholarly Knowledge Graph - Allard Oelen.pdf
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(3.6 MB)
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