Front. Big Data
Frontiers in Big Data
Front. Big Data
2624-909X
Frontiers Media S.A.
10.3389/fdata.2020.00021
Big Data
Correction
Corrigendum: FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques
Gharibi Mohamed
1
*
Zachariah Arun
2
Rao Praveen
2
3
1Department of Computer Science and Electrical Engineering, University of Missouri-Kansas City, Kansas City, MO, United States
2Department of Electrical Engineering and Computer Science, University of Missouri-Columbia, Columbia, MO, United States
3Department of Health Management and Informatics, University of Missouri-Columbia, Columbia, MO, United States
Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland
*Correspondence: Mohamed Gharibi mggvf@mail.umkc.edu
This article was submitted to Data Mining and Management, a section of the journal Frontiers in Big Data
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Copyright © 2020 Gharibi, Zachariah and Rao.
2020
Gharibi, Zachariah and Rao
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
A Corrigendum on FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques Gharibi, M., Zachariah, A., and Rao, P. (2020). Front. Big Data 3:12. doi: 10.3389/fdata.2020.00012
machine learning
graph embeddings
knowledge graphs
AGROVOC
semantic similarity
In the published article, there was an error in the affiliation of the first author. Instead of the “University of Missouri-Columbia,” the university name should be “University of Missouri-Kansas City.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.