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

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

4. Provenance

5. Sensor Provenance Management System (Sensor PMS)

6. Workflow Implementation

7. Future Work

8. Conclusion3

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

19. Currently contains 1.7 billion triples of sensor observational dataVirtuoso 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

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