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Deep learning for noise-tolerant RDFS reasoning
Published on Dec 10, 201977 Views
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Chapter list
Deep learning for noise-tolerant RDFS reasoning00:00
Authors00:49
Plan01:23
Beyond just vision…01:40
But with background included02:52
A major problem to deploying AI in key areas04:02
Introduction05:03
Noise Example in DBpedia - 107:21
Noise Example in DBpedia - 207:37
Noise Propagation via RDFS rules - 107:44
Noise Propagation via RDFS rules - 207:45
Number of person-places in DBpedia - 108:04
Number of person-places in DBpedia - 208:30
Problem Statement - 108:33
Problem Statement - 208:51
Problem Statement - 309:04
Problem Statement - 409:06
Problem Statement - 509:43
Approach Overview10:14
Ground Truthing - 111:31
Ground Truthing - 211:52
Ground Truthing - 312:19
RDF tensors creation - 112:58
RDF tensors creation - 213:04
Graph Words - 113:33
Graph Words - 213:46
Graph Words - 314:18
Graph words translation14:43
Training on LUBM114:54
Noise Induction15:02
Results on Noisy LUBM1 datasets15:43
Example Results on Scientists dataset16:35
Contributions18:25
Future Work19:07
Questions I cannot answer can be addressed to:20:26