Semantic Map for Structural Bioinformatics: Enhanced Service Discovery Based on High Level Concept Ontology

  • Edouard Strauser
  • Mikaël Naveau
  • Hervé Ménager
  • Julien Maupetit
  • Zoé Lacroix
  • Pierre Tufféry
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6799)

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

Keywords

Service Discovery Domain Ontology Resource Discovery Bioinformatics Resource Graph Expansion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Edouard Strauser
    • 1
    • 2
  • Mikaël Naveau
    • 1
    • 2
  • Hervé Ménager
    • 3
  • Julien Maupetit
    • 1
    • 2
  • Zoé Lacroix
    • 4
  • Pierre Tufféry
    • 1
    • 2
  1. 1.MTi, INSERM UMR-S 973Université Paris Diderot (Paris 7)ParisFrance
  2. 2.RPBSUniversité Paris Diderot (Paris 7)ParisFrance
  3. 3.Institut PasteurParisFrance
  4. 4.Arizona State UniversityUSA

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