Semantic map for structural bioinformatics: enhanced service discovery based on high level concept ontology

  • Authors:

  • Edouard Strauser;Mikaël Naveau;Hervé Ménager;Julien Maupetit;Zoé Lacroix;Pierre Tufféry

  • Affiliations:

  • MTi, INSERM UMR-S 973, Université Paris Diderot (Paris 7), Paris, France;MTi, INSERM UMR-S 973, Université Paris Diderot (Paris 7), Paris, France;Institut Pasteur, Paris, France;MTi, INSERM UMR-S 973, Université Paris Diderot (Paris 7), Paris, France;Arizona State University, Arizona;MTi, INSERM UMR-S 973, Université Paris Diderot (Paris 7), Paris, France

  • Venue:
  • RED'10 Proceedings of the Third international conference on Resource Discovery
  • Year:
  • 2010

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Abstract

The amount of bioinformatics services available over the web has dramatically increased over the last years. Generalist on-line catalogs help identifying a particular service in such a pool. Unfortunately, most of the time, querying those catalogs is only based on a textual search for a particular datatype or a domain of interest. In this context, we have developed the Structural Bioinformatics Semantic Map (SBMap), a dual level ontology that allows users to discover structural bioinformatics resources through the exploration of a graph of high level concepts. In this paper, we present how participative design workshops helped us to improve the navigation experiment. The SBMap discovery tool (release-candidate) is available at: http://sbmap.rpbs.univ-paris-diderot.fr