Abstract
Emergence of advanced complex experiments in applied sciences resulted in a change in the way of experimentation. Information management plays an important role in supporting such scientific experiments. In this paper, we address the modelling requirements of scientific experiments and information. We describe a novel experiment model as the base for a support environment, and data models developed for the representation of different components of the experiment model.
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References
Kaletas, E.C., et al.: EXPRESSIVE: A Database for MicroArray Gene Expression Studies. University of Amsterdam, Informatics Intitute. Tech.Rep. CS-2001-02
Baxevanis, A.D.: The Molecular Biology Database Collection: An Updated Compilation of Biological Database Resources. Nucleic Acids Research 29, 1–10 (2001)
Dublin Core Metadata Initiative - Web page (2003), http://dublincore.org/
Kaletas, E.C., et al.: Virtual Laboratory Experimentation Environment Data Model. University of Amsterdam, Informatics Intitute. Tech.Rep. CS-2001-01
Ioannidis, Y.E., et al.: ZOO: A Desktop Experiment Management Environment. In: Proceedings of the 22nd International Conference on Very Large Data Bases (VLDB 1996), pp. 274–285 (1996)
Chen, I.A., Markowitz, V.M.: An Overview of the Object Protocol Model (OPM) and the OPM Data Management Tools. Information Systems 20–5 (1995)
Schuchardt, K.L., et al.: A Web-Based Data Architecture for Problem Solving Environments: Application of Distributed Authoring and Versioning to the Extensible Computational Chemistry Environment. Cluster Computing 5, 287–296 (2002)
Erwin, D.W.: UNICORE - A Grid Compuing Environment. Concurrency and Computation: Practice and Experience 14, 1395–1410 (2002)
Afsarmanesh, H., et al.: VLAM-G: A Grid-based Virtual Laboratory. Scientific Programming 10, 173–181 (2002)
Frenkel, A., et al.: Information Management for Material Science Applications in a Virtual Laboratory. In: Mayr, H.C., Lazanský, J., Quirchmayr, G., Vogel, P. (eds.) DEXA 2001. LNCS, vol. 2113, pp. 165–174. Springer, Heidelberg (2001)
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Kaletas, E.C., Afsarmanesh, H., Hertzberger, L.O.(. (2003). Modelling Multi-disciplinary Scientific Experiments and Information. In: Yazıcı, A., Şener, C. (eds) Computer and Information Sciences - ISCIS 2003. ISCIS 2003. Lecture Notes in Computer Science, vol 2869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39737-3_10
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DOI: https://doi.org/10.1007/978-3-540-39737-3_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20409-1
Online ISBN: 978-3-540-39737-3
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