Detecting common scientific workflow fragments using templates and execution provenance

Garijo Verdejo, Daniel; Corcho, Oscar y Gil, Yolanda (2013). Detecting common scientific workflow fragments using templates and execution provenance. En: "K-Cap 2013.- The Seventh International Conference on Knowledge Capture | Banff, Alberta, Canada", 23-26 June 2013, Banff, Canada.

Descripción

Título: Detecting common scientific workflow fragments using templates and execution provenance
Autor/es:
  • Garijo Verdejo, Daniel
  • Corcho, Oscar
  • Gil, Yolanda
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: K-Cap 2013.- The Seventh International Conference on Knowledge Capture | Banff, Alberta, Canada
Fechas del Evento: 23-26 June 2013
Lugar del Evento: Banff, Canada
Título del Libro: The Seventh International Conference on Knowledge Capture 2013
Fecha: Julio 2013
Materias:
Palabras Clave Informales: Scientic workflow, provenance, abstraction, Wings
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Grupo Investigación UPM: oeg
Licencias Creative Commons: Ninguna

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Resumen

Provenance plays a major role when understanding and reusing the methods applied in a scientic experiment, as it provides a record of inputs, the processes carried out and the use and generation of intermediate and nal results. In the specic case of in-silico scientic experiments, a large variety of scientic workflow systems (e.g., Wings, Taverna, Galaxy, Vistrails) have been created to support scientists. All of these systems produce some sort of provenance about the executions of the workflows that encode scientic experiments. However, provenance is normally recorded at a very low level of detail, which complicates the understanding of what happened during execution. In this paper we propose an approach to automatically obtain abstractions from low-level provenance data by finding common workflow fragments on workflow execution provenance and relating them to templates. We have tested our approach with a dataset of workflows published by the Wings workflow system. Our results show that by using these kinds of abstractions we can highlight the most common abstract methods used in the executions of a repository, relating different runs and workflow templates with each other.

Más información

ID de Registro: 15021
Identificador DC: http://oa.upm.es/15021/
Identificador OAI: oai:oa.upm.es:15021
Depositado por: Dr Oscar Corcho
Depositado el: 26 Abr 2013 10:09
Ultima Modificación: 21 Abr 2016 15:05
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