Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data

TitleProvenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data
Publication TypeConference Proceedings
Year of Publication2010
AuthorsSatya Sahoo, Olivier Bodenreider, Krishnaprasad Thirunarayan, Pascal Hitzler, Amit Sheth
Conference NameScientific and Statistical Database Management (SSDBM 2010)
Conference LocationHeidelberg, Germany
KeywordsProvenir ontology and Provenance context entity and Biomedical knowledge repository and Context theory and RDF reification

The Resource Description Framework (RDF) format is being used by a large number of scientific applications to store and disseminate their datasets. The provenance information, describing the source or lineage of the datasets, is playing an increasingly significant role in ensuring data quality, computing trust value of the datasets, and ranking query results. Current provenance tracking approaches using the RDF reification vocabulary suffer from a number of known issues, including lack of formal semantics, use of blank nodes, and application-dependent interpretation of reified RDF triples. In this paper, we introduce a new approach called Provenance Context Entity (PaCE) that uses the notion of provenance context to create provenance-aware RDF triples. We also define the formal semantics of PaCE through a simple extension of the existing RDF(S) semantics that ensures compatibility of PaCE with existing Semantic Web tools and implementations. We have implemented the PaCE approach in the Biomedical Knowledge Repository (BKR) project at the US National Library of Medicine. The evaluations demonstrate a minimum of 49% reduction in total number of provenance-specific RDF triples generated using the PaCE approach as compared to RDF reification. In addition, performance for complex queries improves by three orders of magnitude and remains comparable to the RDF reification approach for simpler provenance queries.

Full Text

Satya Sahoo, Olivier Bodenreider, Pascal Hitzler, and Amit Sheth, 'Provenance Context Entity ( PaCE ): Scalable Provenance Tracking for Scientific RDF Data Pace Pacing And Clinical Electrophysiology,' SSDBM 2010.
research center: Knoesis
year: 2010

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