Hands-on Automatic Quality Assessment of Knowledge Graphs

In this tutorial we will tackle the challenge of detecting and uncovering (potentially systematic) quality issues in knowledge graphs, in an as much as possible automatic way. We will cover quality dimensions like accuracy, completeness, conciseness and understandability, and we will apply problem detection methods inspired from linguistics, statistical modeling, and ontological analysis, in publicly available knowledge graphs. 

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Time: 
Tuesday, September 13, 2022 - 14:00 to 17:30
Chair: 
Panos Alexopoulos