linked sensor data
DESCRIPTION
A number of government, corporate, and academic organizations are collecting enormous amounts of data provided by environmental sensors. However, this data is too often locked within organizations and underutilized by the greater community. In this paper, we present a framework to make this sensor data openly accessible by publishing it on the Linked Open Data (LOD) Cloud. This is accomplished by converting raw sensor observations to RDF and linking with other datasets on LOD. With such a framework, organizations can make large amounts of sensor data openly accessible, thus allowing greater opportunity for utilization and analysis. Authors - Harshal Patni, Cory Henson, Amit Sheth * First attempt on Linked Sensor DataTRANSCRIPT
Linked Sensor Data
Harshal Patni, Cory Henson, Amit P. ShethOhio Center of Excellence in Knowledge enabled Computing (Kno.e.sis)
Wright State University, Dayton, OH
48th ACM Southeast Conference. ACMSE 2010. Oxford, Mississippi. April 15-17, 2010.
OUTLINE
Application on Linked Sensor Data What is Linked Sensor Data Sensor Datasets Generated Data Generation Workflow Future Work Conclusion
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Sensor Discovery Application
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Weather Station ID
Weather Station Coordinates
Weather Station Phenomena
Current Observations from MesoWest
MesoWest – Project under Department of Meteorology, University of UTAH
GeoNames – Geographic dataset
What is Linked Sensor Data
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Weather Sensors
Camera SensorsSatellite Sensors
GPS SensorsSensor Dataset
What is Linked Sensor Data
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Sensor Dataset
Publicly Accessible
Recommended best practice for exposing, sharing, and connecting pieces of data, information, and knowledge on the Web using URIs and RDF
RDF – language for representing data on the Web
loca
tedNea
r
GeoNames Dataset
znSensor Datasets
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LinkedSensorDataset
• RDF Descriptions of ~20,000 weather stations in US• Average 5 sensors/weather station• Spatial attributes of the weather station• Links to locations in Geonames
LinkedObservationDataset
• RDF descriptions of Hurricanes and Blizzard observations in US
• Observations generated by sensors described in LinkedSensorDataset
MesoWest Service Data
OGC Observation and Measurement
(O&M)RDF Instance Virtuoso RDF store
Data Generation Workflow
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O&M2RDFCONVERTER
Workflow – Phase 1
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MesoWest Service Data
OGC Observation
and Measurement
(O&M)
RDF Instance Virtuoso RDF store
Workflow – Phase 2
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MesoWest Service Data
OGC Observation
and Measurement
(O&M)
RDF Instance Sesame RDF store
Workflow – Phase 3
MesoWest Service Data
OGC Observation
and Measurement
(O&M)
RDF Instance Virtuoso RDF store
Sensor Ontology
Ontology – formal representation of knowledge by a set of concepts and relationship between those concepts
Figure 1: System Components and Architecture
Workflow – Phase 3
MesoWest Service Data
OGC Observation
and Measurement
(O&M)
RDF Instance Virtuoso RDF store
Workflow – Phase 4
MesoWest Service Data
OGC Observation
and Measurement
(O&M)
RDF Instance Virtuoso RDF store
Open Source RDF store by OpenLink Software for storing RDF data
Future Work
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Linked Observation DatasetTemporal
Linking the LinkedObservationDataset to DBpedia (RDF extraction of Wikipedia)
Linked Sensor DatasetSpatial
x
• Publicly accessible Rich Weather Sensor datasets• Datasets are easy to query• Able to query Sensors based on location names• Built O&M2RDFConverter to generate more publicly
accessible sensor datasets
CONCLUSION
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ACKNOWLEDGEMENTS
People Joshua Pschorr
Air Force Research Lab Wright-Patterson Air Force Base
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QUESTIONS
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• Semantic Web – is an extension of the current web in which data is expressed in a common vocabulary making such that the data becomes machine processable.
• Ontology – is a specification of concepts and relationships between them.
• Triple - a ternary relation containing an entity pair and a relationship that expresses the link between them i.e. subject-predicate-object
• Entity/Concept – an instance of a thing
• URI – a unique identifier for any resource/entity/thing on the web
• LOD - a semantic web initiative to provide a repository of semantically connected datasets
TERMINOLOGY
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