Skip to main content

Information Management for Material Science Applications in a Virtual Laboratory

  • Conference paper
  • First Online:
Database and Expert Systems Applications (DEXA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2113))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Afsarmanesh, H., Benabdelkader, A., Kaletas, E.C., et al. Towards a Mulit-layer Architecture for Scientific Virtual Laboratories. In 8th International Conference on High Performance Computing and Networking-EuropeHPCN 2000. 2000. Amsterdam, The Netherlands: Springer.

    Google Scholar 

  2. Belloum, A., Hendrikse, Z.W., Groep, D.L., et al. The VL Abstract Machine: a Data and Process Handling System on the Grid. In High Performance Computing and Networking Europe, HPCN 2001. 2001. Amsterdam, The Netherlands.

    Google Scholar 

  3. 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.

    Article  Google Scholar 

  4. 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. In 13th Sanibel Conference on Mass Spectrometry: informatics and mass spectrometry. 2001. Sanibel Island, Florida, USA.

    Google Scholar 

  5. 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.

  6. Gigaport, Gigaport Homepage (http://www.gigaport.nl). 2001.

  7. Global Grid Forum, http://www.gridforum.org/. 2001.

  8. Groep, D., Brand, J.v.d., Bulten, H.J., et al., Analysis of Complex Surfaces in the Virtual Laboratory. 2000, Amsterdam, The Netherlands.

    Google Scholar 

  9. Kaletas, E.C., A Java Based Object-Oriented API for the Matisse OODBMS. 2001, University of Amsterdam: Amsterdam.

    Google Scholar 

  10. Kaletas, E.C. and Afsarmanesh, H., Virtual Laboratory Experiment Environment Data model. 2001, University of Amsterdam: Amsterdam.

    Google Scholar 

  11. Massey, K.D., Kerschberg, L., and Michaels, G. VANILLA: A Dynamic Data Schema for A Generic Scientific Database. In 9th International Conference on Scientific and Statistical Database Management (SSDBM’ 97). 1997. Olympia, WA, USA: Institute of Electrical and Electronics Engineers (IEEE).

    Google Scholar 

  12. Matisse, Matisse Tutorial. 1998.

    Google Scholar 

  13. ODMG, The Object Data Standard: ODMG 3.0. Series in Data Management Systems, ed. Gray, J., et al. 2000: Morgan Kaufmann Publishers, Inc.

    Google Scholar 

  14. The CO-IM Group, UvA, http://carol.wins.uva.nl/~netpeer/.

  15. The Globus Project, http://www.globus.org/. 2001.

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/3-540-44759-8_18

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42527-4

  • Online ISBN: 978-3-540-44759-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics