Sign inSign up
A Native and Adaptive Approach for Unified Processing of Linked Streams and Linked Data thumbnail
Pause
Mute
Subtitles
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

A Native and Adaptive Approach for Unified Processing of Linked Streams and Linked Data

Published on Nov 25, 20112918 Views

Danh Le Phuoc

In this paper we address the problem of scalable, native and adaptive query processing over Linked Stream Data integrated with Linked Data. Linked Stream Data consists of data generated by stream sour

Research Track

Related categories

Machine LearningSemantic Web

Chapter list

A Native and Adaptive Approach for Unified Processing of Linked Streams and Linked Data00:00
Outline00:25
Integrate Highly Dynamic Data into Linked Data Cloud00:50
Processing Linked Stream Data In A Nutshell02:08
Black-box approach and limitations03:51
EP-SPARQL and C-SPARQL06:09
White-box approach 06:44
Enabling the adaptivity08:00
Different data flows for different data09:00
Processing Model - Operators13:44
Continuous Query Evaluation over Linked Streams15:11
Techniques - 116:35
CQELS query language18:19
Experiment setup18:56
Experiment results20:27
Experiment results - Scalability (non-stream data size)21:17
Experiment results - Scalability (number of queries)22:07
Future work22:30
Conclusion23:35