Mining Taverna's semantic web of provenance

  • Authors:

  • Jun Zhao;Carole Goble;Robert Stevens;Daniele Turi

  • Affiliations:

  • School of Computer Science, University of Manchester, Manchester M13 9PL, U.K.;School of Computer Science, University of Manchester, Manchester M13 9PL, U.K.;School of Computer Science, University of Manchester, Manchester M13 9PL, U.K.;School of Computer Science, University of Manchester, Manchester M13 9PL, U.K.

  • Venue:
  • Concurrency and Computation: Practice & Experience - The First Provenance Challenge
  • Year:
  • 2008

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Abstract

Taverna is a workflow workbench developed as part of the UK's myGrid project. Taverna's provenance model captures both internal provenance locally generated in Taverna and external provenance gathered from third-party data providers. This model also supports overlaying secondary provenance over the primary logs and lineage. This design is motivated by the particular properties of bioinformatics data and services used in Taverna. A Semantic Web of provenance, Ouzo, is built to combine the above different provenance by means of semantic annotations. This paper shows how Ouzo can be mined by a provenance usage component, Provenance Query and Answer (ProQA). ProQA supports provenance retrievals as well as provenance abstraction, aggregation, and semantic reasoning. ProQA is implemented as a suite APIs which can be deployed as provenance services to compose system provenance workflows that analyse experiment results using the provenance records. We show how these features of Taverna's provenance support us in answering the questions from the provenance challenge workshop and a set of additional provenance queries. Copyright © 2007 John Wiley & Sons, Ltd.