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Janus: from workflows to semantic provenance and linked open data

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Published
  • Paolo Missier
  • Satya Sahoo
  • Jun Zhao
  • Carole Goble
  • Amit Sheth
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Publication date2010
Host publicationProvenance and annotation of data and processes: Third International Provenance and Annotation Workshop, IPAW 2010, Troy, NY, USA, June 15-16, 2010. Revised Selected Papers
EditorsDeborah L. McGuinness, James R. Michaelis, Luc Moreau
Place of PublicationBerlin
PublisherSpringer
Pages129-141
Number of pages13
ISBN (electronic)9783642178191
ISBN (print)9783642178184
<mark>Original language</mark>English

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume6378
ISSN (Print)0302-9743

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.