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Semi-automatic web service composition for the life sciences using the BioMoby semantic web framework.

Michael DiBernardo1, Rachel Pottinger, Mark Wilkinson

  • 1University of British Columbia, Department of Computer Science, 201-2366 Main Mall, Vancouver, BC, Canada V6T1Z4. mikedebo@gmail.com

Journal of Biomedical Informatics
|April 1, 2008
PubMed
Summary
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Life-science researchers face challenges with web service interoperability. A new workflow assembly client improves service selection by restricting and ranking available options, enhancing informatics experiment scalability.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Life Sciences Informatics

Background:

  • Life science researchers are limited by poor interoperability of web services for informatics experiments.
  • Semantic annotation and the Moby framework aim to address interoperability but lead to an unmanageable number of services.
  • Automated service composition is crucial for managing and utilizing the growing landscape of life science web services.

Purpose of the Study:

  • To develop a prototype workflow assembly client to simplify service selection for life science researchers.
  • To reduce the cognitive load on users by presenting a curated and prioritized list of services.
  • To enhance the scalability of informatics experiments through improved automated service composition.

Main Methods:

Related Experiment Videos

  • Implemented a workflow assembly client with two key features: service set restriction and service ranking.
  • Utilized semantic information for programmatic reasoning about interoperability.
  • Evaluated the prototype's effectiveness in ranking desirable services and maintaining performance.

    • Main Results:

    • The prototype successfully reduces the number of choices presented to users.
    • A combination of simple techniques effectively ranks the most desirable services.
    • Interactive response times were maintained during the evaluation.

    Conclusions:

    • The developed prototype demonstrates a practical approach to overcoming the challenge of unmanageable service selection in life sciences.
    • Automated service composition, aided by service restriction and ranking, can significantly improve the efficiency of informatics workflows.
    • This approach facilitates larger-scale bioinformatics analyses and experiments by streamlining web service utilization.