02427nas a2200229   4500008004100000245009100041210006900132260003400201300001500235490000900250520170100259100002101960700002101981700002302002700002302025700001602048700001902064700002102083700002302104700001902127856005102146       2009                        eng d00aOntology-Driven Provenance Management in eScience: An Application in Parasite Research0 aOntologyDriven Provenance Management in eScience An Application   aVilamoura, PortugalbSpringer  a992–10090 v58713 a<p class="rtejustify">Provenance, from the French word “provenir”, describes the lineage or history of a data entity. Provenance is critical information in scientific applications to verify experiment process, validate data quality and associate trust values with scientific results. Current industrial scale eScience projects require an end-to-end provenance management infrastructure. This infrastructure needs to be underpinned by formal semantics to enable analysis of large scale provenance information by software applications. Further, effective analysis of provenance information requires well-defined query mechanisms to support complex queries over large datasets. This paper introduces an ontology-driven provenance management infrastructure for biology experiment data, as part of the Semantic Problem Solving Environment (SPSE) for Trypanosoma cruzi (T.cruzi). This provenance infrastructure, called T.cruzi Provenance Management System (PMS), is underpinned by (a) a domain-specific provenance ontology called Parasite Experiment ontology, (b) specialized query operators for provenance analysis, and (c) a provenance query engine. The query engine uses a novel optimization technique based on materialized views called materialized provenance views (MPV) to scale with increasing data size and query complexity. This comprehensive ontology-driven provenance infrastructure not only allows effective tracking and management of ongoing experiments in the Tarleton Research Group at the Center for Tropical and Emerging Global Diseases (CTEGD), but also enables researchers to retrieve the complete provenance information of scientific results for publication in literature.</p>
1 aSahoo, Satya, S.1 aWeatherly, Brent1 aMutharaju, Raghava1 aAnantharam, Pramod1 aSheth, Amit1 aTarleton, Rick1 aMeersman, Robert1 aDillon, Tharam, S.1 aHerrero, Pilar  uhttp://dx.doi.org/10.1007/978-3-642-05151-7_18