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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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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