Abstract
Large-scale collaboration is a key success factor in today scientific experiments, usually involving a variety of digital resources, while Cooperative Information Systems (CISs) represent a feasible solution for sharing distributed information sources and activities. On this premise, the aim of this paper is to provide a paradigm for modeling scientific experiments as distributed processes that a group of scientists may go through on a network of cooperative e-nodes interacting with one another in order to offer or to ask for services. By discussing a bioinformatics case study, the paper details how the problem solving strategy related to a scientific experiment can be expressed by a workflow of single cooperating activities whose implementation is carried out on a prototypical service-based scientific environment.
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Bosin, A., Dessì, N., Fugini, M., Pes, B. (2008). Cooperative E-Organizations for Distributed Bioinformatics Experiments. In: Fyfe, C., Kim, D., Lee, SY., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2008. IDEAL 2008. Lecture Notes in Computer Science, vol 5326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88906-9_39
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DOI: https://doi.org/10.1007/978-3-540-88906-9_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88905-2
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