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Abstract
The goal of Virtual Laboratory project (VL), being developed at the University of Amsterdam, is to provide an open and flexible infrastructure to support scientists in their collaboration towards the achievement of a joint experiment. The advanced features of VL provide an ideal environment for experiment-based applications, such as the Material Analysis of Complex Surfaces (MACS) experiments, to benefit from different developed interfaces to the hardware and software required by the scientists. To properly support the information management in this collaborative environment, a set of innovative and specific mechanisms and functionalities for efficient storage, handling, integration, and retrieval of the MACS-related data, as well as data analysis tools on the experiment results, are being developed. This paper focuses on the information management in the MACS application case and describes its implementation using the Matisse ODBMS system.
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Afsarmanesh, H., Benabdelkader, A., Kaletas, E.C., et al.Towards a Mulit-layer Architecture for Scientific Virtual Laboratories. In8th International Conference on High Performance Computing and Networking-EuropeHPCN 2000. 2000. Amsterdam, The Netherlands: Springer.
Belloum, A., Hendrikse, Z.W., Groep, D.L., et al.The VL Abstract Machine: a Data and Process Handling System on the Grid. InHigh Performance Computing and Networking Europe, HPCN 2001. 2001. Amsterdam, The Netherlands.
Berg, K.J.v.d., Boon, J.J., Pastorova, I., et al.,Mass spectrometric methodology for the analysis of highly oxidized diterpenoid acids in Old Master paintings. Journal of Mass Spectrometry, 2000.35(4): p. 512–533.
Eijkel, G.B., Afsarmanesh, H., Groep, D., et al.Mass Spectrometry in the Amsterdam Virtual Laboratory: development of a high-performance platform for meta-data analysis. In13th Sanibel Conference on Mass Spectrometry: informatics and mass spectrometry. 2001. Sanibel Island, Florida, USA.
Foster, I., Kesselman, C., and Tuecke, S.,The Anatomy of the Grid: enabling scalable virtual organizations,http://www.globus.org/research/papers/anatomy.pdf. 2000.
Gigaport,Gigaport Homepage (http://www.gigaport.nl). 2001.
Global Grid Forum,http://www.gridforum.org/. 2001.
Groep, D., Brand, J.v.d., Bulten, H.J., et al.,Analysis of Complex Surfaces in the Virtual Laboratory. 2000, Amsterdam, The Netherlands.
Kaletas, E.C.,A Java Based Object-Oriented API for the Matisse OODBMS. 2001, University of Amsterdam: Amsterdam.
Kaletas, E.C. and Afsarmanesh, H.,Virtual Laboratory Experiment Environment Data model. 2001, University of Amsterdam: Amsterdam.
Massey, K.D., Kerschberg, L., and Michaels, G.VANILLA: A Dynamic Data Schema for A Generic Scientific Database. In9th International Conference on Scientific and Statistical Database Management (SSDBM’ 97). 1997. Olympia, WA, USA: Institute of Electrical and Electronics Engineers (IEEE).
Matisse,Matisse Tutorial. 1998.
ODMG,The Object Data Standard: ODMG 3.0. Series in Data Management Systems, ed. Gray, J., et al. 2000: Morgan Kaufmann Publishers, Inc.
The CO-IM Group, UvA,http://carol.wins.uva.nl/~netpeer/.
The Globus Project,http://www.globus.org/. 2001.
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Authors and Affiliations
Computer Science Department, University of Amsterdam, Kruislaan 403, 1098, SJ, Amsterdam, The Netherlands
A. Frenkel, H. Afsarmanesh & L. O. Hertzberger
Institute for Atomic and Molecular Physics (AMOLF), Kruislaan 407, 1098, SJ, Amsterdam, The Netherlands
G. Eijkel
- A. Frenkel
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- H. Afsarmanesh
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- G. Eijkel
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- L. O. Hertzberger
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Editors and Affiliations
University of Klagenfurt, IFI -IWAS Universitaetsstr. 65, 9020, Klagenfurt, Austria
Heinrich C. Mayr
Faculty of Electrical Engineering, Czech Technical University, Technicka 2, 166 27, Prague 6, Czech Republic
Jiri Lazansky
School of Computer and Information Science, University of South Australia, Mawson Lakes Campus, Mawson Lakes, SA, 5095
Gerald Quirchmayr
Department of Information Systems, Technical University of Munich, Orleanstr. 34, 81667, Munich, Germany
Pavel Vogel
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Frenkel, A., Afsarmanesh, H., Eijkel, G., Hertzberger, L.O. (2001). Information Management for Material Science Applications in a Virtual Laboratory. In: Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (eds) Database and Expert Systems Applications. DEXA 2001. Lecture Notes in Computer Science, vol 2113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44759-8_18
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