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Completeness-aware Rule Learning from Knowledge Graphs
Published on 2017-11-28765 Views
Knowledge graphs (KGs) are huge collections of primarily encyclopedic facts. They are widely used in entity recognition, structured search, question answering, and other important tasks. Rule mining i
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Presentation
Completeness-aware Rule Learning from Knowledge Graphs00:00
Motivation00:03
Reasonable Rules00:35
Reasonable Rules - 101:32
Erroneous Rules due to Data Bias02:55
Exploiting Meta-data in Rule Learning03:38
Cardinality Statements04:13
Cardinality Constraints on Edges05:06
Related Work05:34
Prediction Post-processing05:45
Prediction Post-processing - 106:16
Prediction Post-processing - 206:25
Our Problem Statement06:48
Rule Predictions07:44
Completeness Confidence08:28
Completeness Confidence Example 109:20
Completeness Confidence Example 209:40
Other Measures10:18
Experimental Setup11:50
Experimental evaluation13:44
Conclusion and Future Work14:36