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

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:

• 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.