Data in Astronomy: From the Pipeline to the Virtual Observatory

  • André Schaaff
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4832)

Abstract

Up to a recent time, numbers of projects did not make available to the whole community the data resulting from the spatial or terrestrial missions. Since the advent of new technologies, the interoperability between the data and service providers has become a priority because it allows an easy access and sharing of various data (catalogues, images, spectrum ...) and it leads to the concept of Virtual Observatory. The astronomer will in a near future have new “virtual” instruments useful for his research through simple Web interfaces or user friendly tools. Collaborations are essential in order to lead to the consensuses and the bases necessary for its construction. National (OV France, U.S. NVO...) and transnational (ESA, ESO) projects have joined together within the International Virtual Observatory Alliance to take part in the development of Recommendations in various fields (Data Model, Data Access Layer, Semantics, Grid, etc.) through biannual dedicated conferences.

Keywords

astronomy massive data Virtual Observatory interoperability value added services Life Sciences 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Anjum, A., et al.: The Requirements for Ontologies in Medical Data Integration: A Case StudyComputer Science - Databases. In: 11th International Database Engineering & Applications Symposium (Ideas 2007), Banff, Canada (September 2007)Google Scholar
  2. 2.
    Derriere, S., Preite-Martinez, A., Richard, A., Napoli, A., Nauer, E.: UCDs and Ontologies. In: Astronomical Data Analysis Software and Systems XV ASP Conference Series, Proceedings of the Conference Held 2-5 October 2005 in San Lorenzo de El Escorial, vol. 351, Spain, ASPC..351..449D (2006) Google Scholar
  3. 3.
    Derriere, S., Richard, A., Preite-Martinez, A.: An Ontology of Astronomical Object Types for the Virtual Observatory. In: The Virtual Observatory in Action: New Science, New Technology, and Next Generation Facilities, 26th meeting of the IAU, Special Session 3, 17-18, 21-22 August, 2006 in Prague, Czech Republic, IAUSS...3E..35D (2006) Google Scholar
  4. 4.
    Dobos, L., Budavari, T., Csabai, I., Szalay, A.: The Virtual Observatory Spectrum Services. In: The Virtual Observatory in Action: New Science, New Technology, and Next Generation Facilities, 26th meeting of the IAU, Special Session 3, 17-18, 21-22 August, in Prague, Czech Republic, IAUSS.3E.76D (2006)Google Scholar
  5. 5.
    Gaudet, S., Dowler, P., Goliath, S., Hill, N.: ”Retooling” Data Centre Infrastructure To Support The Virtual Observatory. In: The Virtual Observatory in Action: New Science, New Technology, and Next Generation Facilities, 26th meeting of the IAU, Special Session 3, 17-18, 21-22 August, in Prague, Czech Republic, IAUSS.3E.22G (2006)Google Scholar
  6. 6.
    Genova, F., et al.: Mining the sky. In: Proceedings of the MPA/ESO/MPE Workshop Held at Garching, Germany, July 31 - August 4, 200 Mining the sky: Proceedings of the MPA/ESO/MPE Workshop Held at Garching, Germany, July 31 - August 4, ESO ASTROPHYSICS, misk.conf.674G (2000) (ISBN 3-540-42468-7)Google Scholar
  7. 7.
    Genova, F.: Data Centre. In: The Virtual Observatory. In: Astronomical Data Management. 26th meeting of the IAU, Special Session 6, 22 August, in Prague, Czech Republic, IAUSS.6E.4G (2006)Google Scholar
  8. 8.
    Graham, M.J., Williams, R.D., CARNIVORE.: an open source VO registry, in Astronomical Data Analysis Software and Systems XV ASP Conference Series.In: Proceedings of the Conference Held October 2-5, in San Lorenzo de El Escorial, vol. 351,Spain. p.421, ASPC.351.421G (2005)Google Scholar
  9. 9.
    Lawrence, A.: The Virtual Observatory: What it is and where it came from. In: The Virtual Observatory in Action: New Science, New Technology, and Next Generation Facilities, 26th meeting of the IAU, Special Session 3, 17-18, August 21-22, 2006, Prague, Czech Republic, IAUSS.3E.1L (2006)Google Scholar
  10. 10.
    Ochsenbein, F., et al.: VOTable: Tabular Data for the Virtual Observatory, in Toward an International Virtual Observatory. In: Proceedings of the ESO/ESA/NASA/NSF Conference Held at Garching, Germany, 10-14 June, ESO Astrophysics Symposia, p. 118, 2004tivo.conf.118O (2002) ISBN 3-540-21001-6Google Scholar
  11. 11.
    Pasian, F., Taffoni, G., Vuerli, C.: Interconnecting the Virtual Observatory with Computational Grid infrastructures. In: The Virtual Observatory in Action: New Science, New Technology, and Next Generation Facilities, 26th meeting of the IAU, Special Session 3, 17-18, 21-22 August 2006, Prague, Czech Republic, IAUSS.3E.33P (2006)Google Scholar
  12. 12.
    Schaaff, A., et al.: Work Around Distributed Image Processing and Workflow Management. In: Astronomical Data Analysis Software and Systems XV ASP Conference Series, Proceedings of the Conference Held 2-5 October, in San Lorenzo de El Escorial, vol. 351, Spain, p.323, ASPC.351.323S (2006)Google Scholar
  13. 13.
    Schaaff, A., Le Petit, F., Prugniel, P., Slezak, E., Surace, C.: Workflow Working Group in the frame of ASOV. In: SF2A-2006: Proceedings of the Annual meeting of the French Society of Astronomy and Astrophysics, p. 97, sf2a.conf.97S (2006)Google Scholar
  14. 14.
    Slezak, E., Schaaff, A.: Image Processing and Scientific Workflows in the Virtual Observatory Context. In: The Virtual Observatory in Action: New Science, New Technology, and Next Generation Facilities, 26th meeting of the IAU, Special Session 3, 17-18, 21-22 August 2006, Prague, Czech Republic, IAUSS.3E.48S (2006)Google Scholar
  15. 15.
    Szalay, A.: The Science and Technology of the National Virtual Observatory, in 2007 AAS/AAPT Joint Meeting, American Astronomical Society Meeting 209, #187.01; Bulletin of the American Astronomical Society, vol. 38, p. 1163, AAS...20918701S (2006) Google Scholar
  16. 16.
    Taffoni, G., et al.: Grid Data Source Engine: Grid gateway to the Virtual Observatory. In: Astronomical Data Analysis Software and Systems XV ASP Conference Series, Proceedings of the Conference Held 2-5 October 2006, in San Lorenzo de El Escorial, Spain. Edited by Carlos Gabriel, Christophe Arviset, Daniel Ponz, and Enrique Solano. Astronomical Society of the Pacific, San Francisco, vol. 351, p. 508, ASPC.351.508T (2005)Google Scholar
  17. 17.
  18. 18.
  19. 19.
    Biozon unified biological resources, http://biozon.org/
  20. 20.
    European Southern Observatory, http://www.eso.org/public/
  21. 21.
    European Space Agency, http://esavo.esa.int/
  22. 22.
    International Virtual Observatory Alliance, http://ivoa.net/
  23. 23.
    National Virtual Observatory, http://www.us-vo.org/
  24. 24.
    Observatoires Virtuels France, http://www.france-ov.org/
  25. 25.
  26. 26.
  27. 27.
  28. 28.
  29. 29.
    Sequence Retrieval System, http://srs.ebi.ac.uk/
  30. 30.
  31. 31.
  32. 32.
    The Global Biodiversity Information Facility project, http://www.gbif.org
  33. 33.
    Virtual Observatories of the Future, http://www.astro.caltech.edu/nvoconf/
  34. 34.
  35. 35.
  36. 36.
    VOTech project, http://eurovotech.org/

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • André Schaaff
    • 1
  1. 1.Observatoire Astronomique, 11 rue de l’Université 67000 StrasbourgFrance

Personalised recommendations