Document Type
Conference Proceeding
Publication Date
2010
Abstract
Provenance, from the French word “provenir”, describes the lineage or history 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 management 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.
Repository Citation
Patni, H. K.,
Sahoo, S. S.,
Henson, C. A.,
& Sheth, A. P.
(2010). Provenance Aware Linked Sensor Data. .
https://corescholar.libraries.wright.edu/knoesis/558
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the 2nd Workshop on Trust and Privacy on the Social and Semantic Web, Heraklion, Greece, May 31, 2010.
Video of the presentation can be found at: https://www.youtube.com/watch?v=ZS3-nCotSrI.