Finding Data Resources in a Virtual Observatory Using SKOS Vocabularies

  • Authors:

  • Alasdair J. Gray;Norman Gray;Iadh Ounis

  • Affiliations:

  • Computing Science, University of Glasgow, Glasgow, UK;Physics and Astronomy, University of Leicester, Leicester, UK;Computing Science, University of Glasgow, Glasgow, UK

  • Venue:
  • BNCOD '08 Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge
  • Year:
  • 2008

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Abstract

One problem faced by astronomers using the virtual observatory is finding which of the multitude of data resources is relevant for them. The current tool, VOExplorer, relies on matching searches against tags provided by the resources. This paper shows how skosencoded vocabularies can be used to improve the search results. The techniques are general and applicable to any loose collaborations sharing their resources.