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Janus: From Workflows to Semantic Provenance and Linked Open Data

  • Paolo Missier
  • Satya S. Sahoo
  • Jun Zhao
  • Carole Goble
  • Amit Sheth
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6378)

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.

Keywords

Link Data Semantic Annotation SPARQL Query Query Pattern Link Open Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Paolo Missier
    • 1
  • Satya S. Sahoo
    • 3
  • Jun Zhao
    • 2
  • Carole Goble
    • 1
  • Amit Sheth
    • 3
  1. 1.School of Computer ScienceUniversity of ManchesterUK
  2. 2.Department of ZoologyUniversity of OxfordUK
  3. 3.The Kno.e.sis CenterWright State UniversityDaytonUSA

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