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

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Resource Discovery (RED 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6799))

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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

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Author information

Authors and Affiliations

  1. MTi, INSERM UMR-S 973, Université Paris Diderot (Paris 7), Paris, France

    Edouard Strauser, Mikaël Naveau, Julien Maupetit & Pierre Tufféry

  2. RPBS, Université Paris Diderot (Paris 7), Paris, France

    Edouard Strauser, Mikaël Naveau, Julien Maupetit & Pierre Tufféry

  3. Institut Pasteur, Paris, France

    Hervé Ménager

  4. Arizona State University, Arizona, USA

    Zoé Lacroix

Authors
  1. Edouard Strauser
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  2. Mikaël Naveau
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  3. Hervé Ménager
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  4. Julien Maupetit
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  5. Zoé Lacroix
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  6. Pierre Tufféry
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Editor information

Editors and Affiliations

  1. Dept. of Electrical Engineering, Arizona State University, Tempe, AZ, USA

    Zoé Lacroix

  2. Computer Science Dept., Universidad Simón Bolívar, Caracas, Venezuela

    María Esther Vidal

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© 2012 Springer-Verlag Berlin Heidelberg

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Strauser, E., Naveau, M., Ménager, H., Maupetit, J., Lacroix, Z., Tufféry, P. (2012). Semantic Map for Structural Bioinformatics: Enhanced Service Discovery Based on High Level Concept Ontology. In: Lacroix, Z., Vidal, M.E. (eds) Resource Discovery. RED 2010. Lecture Notes in Computer Science, vol 6799. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27392-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-27392-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27391-9

  • Online ISBN: 978-3-642-27392-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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