@inproceedings{ Paolo-Missier:2008zk,
  author    = {Paolo Missier and Suzanne Embury and Richard Stapenhurst},
  title     = {Exploiting provenance to make sense of automated data acceptance decisions in scientific workflow},
  series   = {LNCS series}, 
  abstract   = {Scientific workflow may include automated decision steps, for instance to accept/reject certain data products during the course of an in silico experiment, based on an assessment of their quality. The trustworthiness of these workflow can be enhanced by providing the users with a trace and explanation of the outcome of these decisions. In this paper we present a provenance model that is designed specifically to support this task. The model applies to a particular type of sub-workflow that is compiled automatically from a high-level specification of user-defined, quality-based data acceptance criteria. The keys to the effectiveness of the approach are that (i) these sub-workflow follow a predictable pattern structure, (ii) the purpose of their component services is defined using an ontology of Information Quality concepts, and (iii) the conceptual model for provenance is consistent with the ontology structure.},
  booktitle   = {IPAW},
  month   = {June},
  volume   = {5272/2008},
  url   = {http://www.springerlink.com/content/r07524068770k401/} ,
  year   = {2008}
}

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