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SPARQL-to-SQL on Internet of Things Databases and Streams

Published on Nov 10, 20161468 Views

To realise a semantic Web of Things, the challenge of achieving efficient Resource Description Format (RDF) storage and SPARQL query performance on Internet of Things (IoT) devices with limited resour

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Chapter list

Internet of things devices and streams00:00
Intro00:22
Current state of the internet of things01:18
Linked Data on lightweight computers01:39
Linked Data for Interoperability01:50
Linked Data on Distributed lightweight Computers02:07
Challenges02:42
The shape of IOT time-series Data03:06
Efficient Queries with Time-Series Data - 104:01
Efficient Queries with Time-Series Data - 204:14
Efficient Queries with Time-Series Data - 304:19
Efficient Queries with Time-Series Data - 404:27
Designing our Engine - 104:51
Designing our Engine - 205:04
Designing our Engine - 305:21
Designing our Engine - 405:30
Designing our Engine - 505:33
Designing our Engine - 605:39
Low Visibility Stations Example - 105:44
Low Visibility Stations Example - 205:57
Low Visibility Stations Example - 306:02
Low Visibility Stations Example - 406:03
Low Visibility Stations Example - 506:07
SPARQL2SQL Mapping - 106:10
SPARQL2SQL Mapping - 206:57
SPARQL2SQL Mapping - 307:40
RDF Stream Processing08:01
RSP Query08:37
Evaluation with Benchmarks08:55
Storage Size09:48
Srbench Query Results - 110:09
Srbench Query Results - 210:38
Srbench Query Results - 310:47
Srbench Query Results - 410:51
Smart Home Results - 110:53
Smart Home Results - 211:15
Stream Processing Efficiency11:33
Stream Processing Scalability11:58
Personal IOT Repository12:42
Ending with a Quote12:58