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Completeness-aware Rule Learning from Knowledge Graphs
Published on Nov 28, 2017759 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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Chapter list
Completeness-aware Rule Learning from Knowledge Graphs00:00
Motivation00:03
Reasonable Rules00:35
Reasonable Rules - 101:32
Erroneous Rules due to Data Bias02:41
Erroneous Rules due to Data Bias02:55
Erroneous Rules due to Data Bias03:22
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