Provenance Aware Linked Sensor Data

TitleProvenance Aware Linked Sensor Data
Publication TypeConference Paper
Year of Publication2010
AuthorsHarshal Patni, Satya S. Sahoo, Cory Henson, Amit Sheth
Conference Name2nd Workshop on Trust and Privacy on the Social and Semantic Web
Conference LocationHeraklion Greece
KeywordsSemantic Sensor Web and Dataset Generation and Linked Data and provenir ontology and Sensor Web Enablement and Provenance Management Framework and Provenance and Lineage and Sensor Data and Resource Description Framework(RDF)

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.

Full Text

Harshal Patni, Satya S. Sahoo, Cory Henson and Amit Sheth, 'Provenance Aware Linked Sensor Data', 2nd Workshop on Trust and Privacy on the Social and Semantic Web, Co-located with ESWC, Heraklion Greece, 30th May - 03 June 2010
project: Semantic Sensor Web
year: 2010
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venue name: 2nd Workshop on Trust and Privacy on the Social and Semantic Web