Linking Abstract Plans of Scientific Experiments to their Corresponding Execution Traces

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Abstract

Provenance describes the creation, manipulation and delivery processes of scientific results; and has become a crucial requirement for debugging, understanding, inspecting and reproducing the outcomes of scientific publications. Scientific experiments, in particular computational workflows, often include provenance collection mechanisms that link execution traces to their respective planned specifications. Such provenance traces are typically very fine-grained, and may quickly become too complex or difficult for humans to interpret. In this paper we describe our approach to represent workflow plans and provenance at different levels of abstraction. We describe EP-Plan, a W3CPROV ontology extension and we illustrate our approach with a use case using the WINGS workflow system.
Original languageEnglish
Title of host publicationProceedings of the Third International Workshop on Capturing Scientific Knowledge (Sciknow 2019)
PublisherCEUR-WS
Number of pages4
Publication statusAccepted/In press - 21 Oct 2019
EventThird International Workshop on Capturing Scientific Knowledge (SciKnow 2019) - Los Angeles, United States
Duration: 19 Nov 201919 Nov 2019

Workshop

WorkshopThird International Workshop on Capturing Scientific Knowledge (SciKnow 2019)
CountryUnited States
CityLos Angeles
Period19/11/1919/11/19

Keywords

  • Plan
  • Scientific workflows
  • provenance
  • abstractions

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