Efficient Temporal Reasoning on Streams of Events with DOTR 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

Efficient Temporal Reasoning on Streams of Events with DOTR

Published on Jul 10, 2018583 Views

Many ICT applications need to make sense of large volumes of streaming data to detect situations of interest and enable timely reactions. The Stream Reasoning (SR) domain aims to combine the performan

Related categories

Chapter list

Efficient Temporal Reasoning on Streams of Events with DOTR00:00
Stream reasoning00:32
Stream reasoning applications00:46
Stream reasoning requirements01:10
State of the art02:27
Stream reasoning model - 104:12
Stream reasoning model - 204:20
Stream reasoning model - 304:24
Stream reasoning model - 405:02
Stream reasoning model - 506:02
Stream reasoning model - 606:03
Stream reasoning model - 706:17
Stream reasoning model - 806:21
Stream reasoning model - 906:57
Stream reasoning model - 1006:59
Stream reasoning model - 1107:11
Temporal reasoning problems - 107:17
Temporal reasoning problems - 207:59
Temporal reasoning problems - 308:02
Temporal reasoning problems - 408:10
Temporal reasoning problems - 508:33
Temporal reasoning problems - 608:35
Temporal reasoning problems - 709:12
Temporal reasoning problems - 809:13
The DOTR model - 109:34
The DOTR model - 210:20
The DOTR model - 310:29
The DOTR model - 410:34
The DOTR model - 510:35
The DOTR model - 610:45
The DOTR model - 710:47
The DOTR model - 810:48
The DOTR model - 910:49
The DOTR model - 1010:55
Ontological reasoning11:03
Temporal reasoning11:47
Temporal reasoning (only!): TESLA12:06
The DOTR language14:59
The DOTR implementation15:25
Evaluation16:55
Comparison with state-of-the-art - 117:25
Comparison with state-of-the-art - 218:41
Comparison with state-of-the-art - 319:30
Sensivity to parameters20:24
Parameters under study20:59
Sensitivity to parameters21:21
Conclusions 22:39
Thank you! Questions?23:48