Provenance Aware Linked Sensor Data

Harshal Patni, Satya S. Sahoo, 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.

SPOT2010 – 2nd Workshop on Trust and Privacy on the Social and Semantic Web

OUTLINE

Motivating Scenario Provenance Sensor Provenance Management System

(Sensor PMS) Workflow Implementation Future Work Conclusion

3

Motivating Scenario

• Find all the sensors which have observations related to a blizzard occurring in Nevada on 24th August 2005 at 11 AM

4

Thematic information Temporal information

Spatial informationSensors in USA

PROVENANCE

• Find all the sensors which have observations related to a blizzard occurring in Nevada on 24th August 2005 at 11 AM

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Thematic information Temporal information

Spatial information

PROVENANCE information of the observation is required for SENSOR DISCOVERY

PROVENANCE : History or Lineage of data entity

Sensor PMS

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Data capture phase

Annotating data with Sensor Provenance

Ontology

Store the Provenance Aware Sensor Data

Provenance Capture

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Weather Sensors

Camera SensorsSatellite Sensors

GPS SensorsSensor Dataset

Provenance Aware Linked Sensor Data

Provenance Representation

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Sensor Dataset

Sensor Provenance Ontology

Annotate data using concepts in Provenance Sensor Ontology

Provenance Aware Linked Sensor Data

Provenance Representation

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Sensor Ontology

Provenance Representation

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Provenance Storage

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Sensor Dataset

Publicly Accessible

loca

tedNea

r

GeoNames Dataset: Geographic dataset contaning information about countries and 8 million

place names

Provenance Aware Sensor is adding provenance to Linked Sensor Data (on LoD).

Provenance Aware Linked Sensor Data

MesoWest Service Data

OGC Observation and Measurement

(O&M)RDF Instance

Workflow Implementation

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Sensor Provenance Ontology

MesoWest is a Project at University of Utah, Department of Meteorology that collects observations for ~20,000 sensors in United States

Open Geo-Spatial Consortium standard (O&M) for encoding sensor descriptions and observations

Workflow Implementation

13

MesoWest Service Data

OGC Observation and Measurement

(O&M)RDF Instance

Sensor Provenance Ontology

Virtuoso RDF Store

• Virtuoso RDF store is an open source RDF triple store from Open Link software.

• Currently contains 1.7 billion triples of sensor observational data

Future Work

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• Implementing the motivating scenario• Implement provenance query operators• Create a plug-in implementation that can add

provenance information to any processing of sensor dataset automatically

Conclusion

• Developed an ontology-driven provenance management infrastructure for Sensor data called Sensor PMS

• Developed a domain specific provenance ontology by extending the provenir ontology

• Extension of standard ontology helps sharing and integration of provenance information across different domains

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• NIH RO1 Grant# 1R01HL087795-01A1• Dayton Area Graduate Studies Institute (DAGSI)• AFRL/DAGSI Research Topic SN08-8: "Architectures

for Secure Semantic Sensor Networks for Multi-Layered Sensing."

ACKNOWLEDGEMENTS

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QUESTIONS

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