Abstract
Scientific workflows are combinations of activities and computations in order to solve scientific problems. In contrast to, for instance, business workflows that implement business processes involving different persons and information systems, scientific workflows are used to carry out computational experiments, possibly confirming or invalidating scientific hypotheses [1]. Scientific workflow systems [2][3] support and automate the execution of error-prone, repetitive tasks such as data access, transformation, and analysis. Several systems for different purposes and following different approaches have been developed in the last decade, and research in this comparatively new field is currently going into many different directions.
This ISoLA 2010 special track is devoted to “Tools in Scientific Workflow Composition”. Its papers comprise subjects such as tools and frameworks for workflow composition, semantically aware workflow development, and automatic workflow composition, as well as some case studies, examples, and experiences. The contributions are primarily from the bioinformatics domain, but do also contain examples from other (scientific) application domains.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ludäscher, B., Weske, M., McPhillips, T., Bowers, S.: Scientific Workflows: Business as Usual? In: Dayal, U., Eder, J., Koehler, J., Reijers, H.A. (eds.) Business Process Management. LNCS, vol. 5701, pp. 31–47. Springer, Heidelberg (2009)
Ghanem, M., Curcin, V.: Scientific workflow systems - can one size fit all? In: Cairo International Biomedical Engineering Conference, CIBEC 2008, pp. 1–9 (2008)
Zhao, Y., Raicu, I., Foster, I.: Scientific Workflow Systems for 21st Century, New Bottle or New Wine? In: Proceedings of the 2008 IEEE Congress on Services - Part I, pp. 467–471. IEEE Computer Society, Los Alamitos (2008)
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web - A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities. Scientific American 284(5), 34–43 (2001)
Cannata, N., Schroder, M., Marangoni, R., Romano, P.: A Semantic Web for bioinformatics: goals, tools, systems, applications. BMC Bioinformatics 9(suppl. 4), S1 (2008)
Burger, A., Paschke, A., Romano, P., Splendiani, A.: Semantic Web Applications and Tools for Life Sciences 2008. In: Proc. of 1st Workshop SWAT4LS 2008. CEUR Workshop Proceedings, Edinburgh, United Kingdom (November 2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kok, J.N., Lamprecht, AL., Wilkinson, M.D. (2010). Tools in Scientific Workflow Composition. In: Margaria, T., Steffen, B. (eds) Leveraging Applications of Formal Methods, Verification, and Validation. ISoLA 2010. Lecture Notes in Computer Science, vol 6415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16558-0_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-16558-0_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16557-3
Online ISBN: 978-3-642-16558-0
eBook Packages: Computer ScienceComputer Science (R0)