Document Type
Conference Proceeding
Publication Date
6-2010
Abstract
Data provenance graphs are form of metadata that can be used to establish a variety of properties of data products that undergo sequences of transformations, typically specified as workflows. Their usefulness for answering user provenance queries is limited, however, unless the graphs are enhanced with domain-specific annotations. In this paper we propose a model and architecture for semantic, domain-aware provenance, and demonstrate its usefulness in answering typical user queries. Furthermore, we discuss the additional benefits and the technical implications of publishing provenance graphs as a form of Linked Data. A prototype implementation of the model is available for data produced by the Taverna workflow system.
Repository Citation
Missier, P.,
Sahoo, S. S.,
Zhao, J.,
Goble, C.,
& Sheth, A. P.
(2010). Janus: From Workflows to Semantic Provenance and Linked Open Data. Lecture Notes in Computer Science (6378), 129-141.
https://corescholar.libraries.wright.edu/knoesis/781
DOI
10.1007/978-3-642-17819-1_16
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 Third International Provenance and Annotation Workshop, Troy, NY, June 15-16, 2010.
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-17819-1_16.