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Combining Truth Discovery and RDF Knowledge Bases to their mutual advantage
Published on 2018-11-222538 Views
This study exploits knowledge expressed by RDF Knowledge Bases (KBs) to enhance Truth Discovery performance. Truth Discovery aims to identify facts (true claims) when conflicting claims are provided b
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Presentation
Outline - 100:12
What links Truth Discovery and RDF Knowledge Bases?00:51
How can Truth Discovery benefit from RDF KBs? - 101:15
How can Truth Discovery benefit from RDF KBs? - 201:31
How can Truth Discovery benefit from RDF KBs? - 302:27
How can RDF KBs benefit from Truth Discovery?02:53
Outline - 203:21
How does Truth Discovery work? - 103:25
How does Truth Discovery work? - 203:52
How does Truth Discovery work? - 304:18
How does Truth Discovery work? - 404:25
How does Truth Discovery work? - 504:33
How are trustworthiness and confidence computed? An example - 104:49
How are trustworthiness and confidence computed? An example - 205:07
How are trustworthiness and confidence computed? An example - 305:29
How are trustworthiness and confidence computed? An example - 405:49
How are trustworthiness and confidence computed?06:02
Outline - 307:01
How to exploit recurrent patterns to improve TD? - 107:09
How to exploit recurrent patterns to improve TD? - 207:50
TD using Rules (TDR)08:11
TD using Rules (TDR): which are the rules to consider? - 108:49
TD using Rules (TDR): which are the rules to consider? - 209:00
TD using Rules (TDR): which are the rules to consider? - 309:16
TD using Rules (TDR): which are the rules to consider? - 409:36
Outline - 410:00
Experimental settings10:07
Experiments on real-world datasets: data collection11:26
Experiments on real-world datasets: observations12:20
Experiments on real-world datasets: results12:46
Outline - 513:11
What have we learned?13:13
Combining Truth Discovery and RDF Knowledge Bases to their mutual advantage14:22