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Constraint-Guided Workflow Composition Based on the EDAM Ontology
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  • Published: 15 December 2010

SWAT4LS 2010

Constraint-Guided Workflow Composition Based on the EDAM Ontology

  • Anna-Lena Lamprecht1,
  • Stefan Naujokat1,
  • Bernhard Steffen1 &
  • …
  • Tiziana Margaria2 

Nature Precedings (2010)Cite this article

  • 400 Accesses

  • 16 Citations

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Abstract

Methods for the automatic composition of services into executable workflows need detailed knowledge about the application domain, in particular about the available services and their behavior in terms of input/output data descriptions. In this paper we discuss how the EMBRACE data and methods ontology (EDAM) can be used as background knowledge for the composition of bioinformatics workflows. We show by means of a small example domain that the EDAM knowledge facilitates finding possible workflows, but that additional knowledge is required to guide the search towards actually adequate solutions. We illustrate how the ability to flexibly formulate domain-specific and problem-specific constraints supports the workflow development process.

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Authors and Affiliations

  1. TU Dortmund, Chair for Programming Systems https://www.nature.com/nature

    Anna-Lena Lamprecht, Stefan Naujokat & Bernhard Steffen

  2. Universität Potsdam, Chair for Service and Software Engineering https://www.nature.com/nature

    Tiziana Margaria

Authors
  1. Anna-Lena Lamprecht
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  2. Stefan Naujokat
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  3. Bernhard Steffen
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  4. Tiziana Margaria
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Correspondence to Anna-Lena Lamprecht.

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Lamprecht, AL., Naujokat, S., Steffen, B. et al. Constraint-Guided Workflow Composition Based on the EDAM Ontology. Nat Prec (2010). https://doi.org/10.1038/npre.2010.5397.1

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  • Received: 15 December 2010

  • Accepted: 15 December 2010

  • Published: 15 December 2010

  • DOI: https://doi.org/10.1038/npre.2010.5397.1

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Keywords

  • automatic workflow composition
  • domain modeling
  • temporal logic synthesis

This article is cited by

  • Scientific workflows with the jABC framework

    • Anna-Lena Lamprecht
    • Bernhard Steffen
    • Tiziana Margaria

    International Journal on Software Tools for Technology Transfer (2016)

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