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Provenance Aware Linked Sensor Data

48 th ACM Southeast Conference. ACMSE 2010. Oxford, Mississippi. April 15-17, 2010. Provenance Aware Linked Sensor Data. Harshal Patni , Satya S. Sahoo , Cory Henson, Amit P. Sheth Ohio Center of Excellence in Knowledge enabled Computing ( Kno.e.sis )

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Provenance Aware Linked Sensor Data

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  1. 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

  2. OUTLINE • Motivating Scenario • Provenance • Sensor Provenance Management System (Sensor PMS) • Workflow Implementation • Future Work • Conclusion 3

  3. Motivating Scenario Sensors in USA 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 4

  4. 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

  5. Sensor PMS Data capture phase Store the Provenance Aware Sensor Data Annotating data with Sensor Provenance Ontology 6

  6. Provenance Capture Provenance Aware Linked Sensor Data Weather Sensors Sensor Dataset GPS Sensors Satellite Sensors Camera Sensors 7

  7. Provenance Representation Provenance Aware Linked Sensor Data Annotate data using concepts in Provenance Sensor Ontology Sensor Dataset Sensor Provenance Ontology 8

  8. Provenance Representation Sensor Ontology 9

  9. Provenance Representation 10

  10. 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

  11. 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. Workflow Implementation Sensor Provenance Ontology • Virtuoso RDF store is an open source RDF triple store from Open Link software. • Currently contains 1.7 billion triples of sensor observational data Virtuoso RDF Store 13

  13. 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

  14. 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

  15. ACKNOWLEDGEMENTS x • 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." 16

  16. QUESTIONS 17

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