Approaches to measure class importance in Knowledge Graphs

The amount, size, complexity, and importance of Knowledge Graphs (KGs) have increased during the last decade. Many different communities have chosen to publish their datasets using Linked Data principles, which favors the integration of this information with many other sources published using the sa...

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Bibliographic Details
Main Authors: Daniel Fernández-Álvarez, Johannes Frey, Jose Emilio Labra Gayo, Daniel Gayo-Avello, Sebastian Hellmann
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191918/?tool=EBI