Multi-Label Based Learning for Better Multi-Criteria Ranking of Ontology Reasoners thumbnail
slide-image
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Multi-Label Based Learning for Better Multi-Criteria Ranking of Ontology Reasoners

Published on Nov 28, 2017886 Views

A growing number of highly optimized reasoning algorithms have been developed to allow inference tasks on expressive ontology languages such as OWL(DL). Nevertheless, there is broad agreement that a r

Related categories

Chapter list

Multi-Label Based Learning for Better MultiCriteria Ranking of Ontology Reasoners00:00
Outline00:13
Context00:23
Motivation01:25
Research question02:51
Related works03:23
Outline - 103:58
Contributions04:07
Ranking order relation05:45
System Architecture : Multi-RakSOR07:09
Learning component08:49
Prediction component10:18
Ranking Consistency Checking Method11:04
Outline - 211:14
Data collection11:21
Reasoner evaluation results12:26
Multi-RakSOR Evaluations12:51
Multi-RakSOR Evaluations - 113:35
Multi-RakSOR Evaluations - 213:52
Outline - 314:46
Future works15:12
Questions15:29