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Provenance Aware Linked Sensor Data
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Provenance Aware Linked Sensor Data

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Provenance, from the French word “provenir”, describes the lineage or histo-ry of a data entity. Provenance is critical information in the sensors domain to identify a sensor and analyze the …

Provenance, from the French word “provenir”, describes the lineage or histo-ry of a data entity. Provenance is critical information in the sensors domain to identify a sensor and analyze the observation data over time and geographical space. In this paper, we present a framework to model and query the provenance information associated with the sensor data exposed as part of the Web of Data using the Linked Open Data conventions. This is accomplished by developing an ontology-driven provenance man-agement infrastructure that includes a representation model and query infrastructure. This provenance infrastructure, called Sensor Provenance Management System (PMS), is underpinned by a domain specific provenance ontology called Sensor Provenance (SP) ontology. The SP ontology extends the Provenir upper level provenance ontology to model domain-specific provenance in the sensor domain. In this paper, we describe the implementation of the Sensor PMS for provenance tracking in the Linked Sensor Data.

Authors - Harshal Patni, Satya S. Sahoo, Cory Henson, Amit Sheth

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  • The main goal of this work is to model provenance within the sensors domain by extending the provenir upper ontology with the sensors ontology
  • Provenance Capture – Data Generation PhaseProvenance Representation – data generated is annotated using the concepts in the Sensor Provenance OntologyProvenance Storage – the data annotated with provenance information is stored in the Virtuoso RDF store
  • Once we have all this data openly accessible on the Linked Open Data Cloud it is possible to for anyone in the world to search for sensors using the provenance information as shown in the motivating scenario
  • The main goal of this work is to model provenance within the sensors domain by extending the provenir upper ontology with the sensors ontology
  • Change this page look to make it more descriptive
  • Transcript

    • 1.
    • 2. 48th ACM Southeast Conference. ACMSE 2010.
      Oxford, Mississippi. April 15-17, 2010.
      Provenance Aware Linked Sensor Data
      HarshalPatni, Satya S. Sahoo, Cory Henson, Amit P. Sheth
      Ohio Center of Excellence in Knowledge enabled Computing (Kno.e.sis)
      Wright State University, Dayton, OH
      SPOT2010 – 2nd Workshop on Trust and Privacy on the Social and Semantic Web
    • 3. OUTLINE
      • Motivating Scenario
      • 4. Provenance
      • 5. Sensor Provenance Management System (Sensor PMS)
      • 6. Workflow Implementation
      • 7. Future Work
      • 8. Conclusion
      3
    • 9. Motivating Scenario
      Spatial information
      Sensors in USA
      Find all the sensors which have observations related to a blizzard occurring in Nevada on 24th August 2005 at 11 AM
      Thematic information
      Temporal information
      4
    • 10. PROVENANCE
      Spatial information
      Find all the sensors which have observations related to a blizzard occurring in Nevada on 24th August 2005 at 11 AM
      Thematic information
      Temporal information
      PROVENANCE informationof the observation is required for SENSOR DISCOVERY
      PROVENANCE : History or Lineage of data entity
      5
    • 11. Sensor PMS
      Data capture phase
      Store the Provenance Aware Sensor Data
      Annotating data with Sensor Provenance Ontology
      6
    • 12. Provenance Capture
      Provenance Aware Linked Sensor Data
      Weather Sensors
      Sensor Dataset
      GPS Sensors
      Satellite Sensors
      Camera Sensors
      7
    • 13. Provenance Representation
      Provenance Aware Linked Sensor Data
      Annotate data using concepts in Provenance Sensor Ontology
      Sensor Dataset
      Sensor Provenance Ontology
      8
    • 14. Provenance Representation
      Sensor Ontology
      9
    • 15. Provenance Representation
      10
    • 16. ProvenanceStorage
      GeoNames Dataset: Geographic dataset contaning information about countries and 8 million place names
      locatedNear
      Provenance Aware Linked Sensor Data
      Sensor Dataset
      Publicly Accessible
      Provenance Aware Sensor is adding provenance to Linked Sensor Data (on LoD).
      11
    • 17. Workflow Implementation
      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
      12
    • 18. Workflow Implementation
      Sensor Provenance Ontology
      • Virtuoso RDF store is an open source RDF triple store from Open Link software.
      • 19. Currently contains 1.7 billion triples of sensor observational data
      Virtuoso RDF Store
      13
    • 20. Future Work
      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
      14
    • 21. 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
      15
    • 22. x
      ACKNOWLEDGEMENTS
      • NIH RO1 Grant# 1R01HL087795-01A1
      • 23. Dayton Area Graduate Studies Institute (DAGSI)
      • 24. AFRL/DAGSI Research Topic SN08-8: "Architectures for Secure Semantic Sensor Networks for Multi-Layered Sensing."
      16
    • 25. QUESTIONS
      17

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