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Ingredients for the Semantic Sensor Web
Published on Oct 10, 20115630 Views
In this talk we will review different approaches used for the generation, publication and acesss to ontology-based data streams coming from sensor networks. We will briefly describe the work done on
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Chapter list
Ingredients for the Semantic Sensor Web00:00
PART I. Motivation00:18
Sensor Networks01:28
An example: SmartCities01:50
Sensor Networks and Streaming Data03:01
Who are the end users of sensor networks?04:53
Not only environmental sensors, but many others… (1)06:22
Not only environmental sensors, but many others… (2)06:55
How do we make these sensors more accessible? (1)07:22
How do we make these sensors more accessible? (2)07:38
How do we make these sensors more accessible? (3)08:05
The Sensor Web (related to Internet of Things)08:46
Should we care as computer scientists?09:33
A semantic perspective on these challenges10:39
Vision (after some iterations, and more to come) - 113:15
Vision (after some iterations, and more to come) - 214:13
Semantic Sensor Web / Linked Stream-Sensor Data (LSD)15:10
What is Linked Data?15:58
The four principles (Tim Berners Lee, 2006)16:17
Semantic Sensor Web / Linked Stream-Sensor Data (LSD)17:27
Let’s check some examples18:15
AEMET Linked Data19:05
Coastal Channel Observatory and other sources23:06
Part II26:29
How to deal with Linked Stream/Sensor Data27:11
SSN ontologies. History28:12
Overview of the SSN ontology modules29:00
Overview of the SSN ontologies (1)29:46
Overview of the SSN ontologies (2)30:04
SSN Ontology. Sensor and environmental properties31:27
A usage example32:05
AEMET Ontology Network33:37
How to deal with Linked Stream/Sensor Data34:12
Sorry, no clear practices yet…34:43
Good practices in URI Definition34:49
Queries to Sensor/Stream Data37:03
sSPARQL-STR v1 (1)37:23
SPARQL-STR v1 (2)38:16
SPARQL-STR v1 (3)38:32
SPARQL-STR v1 (4)38:40
SPARQL-STR v1 (5)38:45
SPARQL-STR v1 (6)39:14
SPARQL-STR v1 (7)39:23
SPARQL-STR v1 (8)39:31
SPARQL-STR v1 (9)39:47
SPARQL-STR v1 (10)40:32
Creating Mappings41:23
R2RML42:01
Query Transformation Semantics43:06
Algebra expressions transformed to GSN API43:42
Algebra construction44:29
Static optimization44:44
How to deal with Linked Stream/Sensor Data45:20
Data Modeling: stRDF45:34
Querying: stSPARQL46:33
Implementation: STRABON47:07
How to deal with Linked Stream/Sensor Data47:32
Sensor High-level API (1)47:55
Sensor High-level API (2)49:59
API definition50:03
How to deal with Linked Stream/Sensor Data50:34
SwissEx (1)50:46
SwissEx (2)51:05
Sensor Metadata (1)51:29
Sensor Metadata (2)51:36
Sensor Data: Observations52:24
SPARQL-STR + GSN (1)52:32
SPARQL-STR + GSN (2)53:14
How to deal with Linked Stream/Sensor Data53:30
Lessons Learned53:34
Acknowledgments55:12