Generating knowledge graphs through text mining of catalysis research related literature-Reference-Cited by-同舟云学术

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Generating knowledge graphs through text mining of catalysis research related literature

Published:2024 Issue: Volume: Page:
ISSN:2044-4753
Container-title:Catalysis Science & Technology
language:en
Short-container-title:Catal. Sci. Technol.

Author:

Behr Alexander S.¹^ORCID,Chernenko Diana¹,Koßmann Dominik²,Neyyathala Arjun³,Hanf Schirin³^ORCID,Schunk Stephan A.⁴^ORCID,Kockmann Norbert¹^ORCID

Affiliation:

1. Department of Biochemical and Chemical Engineering, Laboratory of Equipment Design, TU Dortmund University, Dortmund, Germany

2. Department of Computer Science, Pattern Recognition Group, TU Dortmund University, Dortmund, Germany

3. Institute for Inorganic Chemistry, Karlsruhe Institute of Technology, Karlsruhe, Germany

4. hte GmbH, Heidelberg, Germany

Abstract

Ontology learning and named entity recognition are used to automate text data extraction from catalysis research and organizing it into a knowledge graph. Extending the CatalysisIE model practical use of the workflow for researchers is demonstrated.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/CY/D4CY00369A

Reference39 articles.

1. Dimensions: Building Context for Search and Evaluation

2. The FAIR Guiding Principles for scientific data management and stewardship

3. How Research Data Management Plans Can Help in Harmonizing Open Science and Approaches in the Digital Economy

4. B. V.Elsevier , Scopus, 2024. Accessed: February 2024. [Online]. Available: https://www.scopus.com/

5. Achieving Digital Catalysis: Strategies for Data Acquisition, Storage and Use

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