Learning, Identifying, Sharing

Abstract : This article argues that a cooperatively-built, well-organized, shared knowledge base is a new – and, from certain viewpoints, optimal – kind of support (refining and integrating other kinds of supports) for three complementary tasks: learning about living entities (and how to identify them), supporting their identification, and sharing knowledge about them. This article gives the ideas behind our prototype, and argues that knowledge providers can be not solely specialists, but also amateurs. In essence, for these three tasks, it argues for the (re-)use of much more semantically organized and interconnected versions of semantic wikis or scratchpads.
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Contributor : Nicolas Alarcon <>
Submitted on : Friday, August 28, 2015 - 1:01:00 PM
Last modification on : Thursday, March 28, 2019 - 11:24:10 AM


  • HAL Id : hal-01188025, version 1



Philippe Martin, Noël Conruyt, David Grosser. Learning, Identifying, Sharing. Bioidentify 2010, Tools for identifying biodiversity: progress and problems, Sep 2010, Paris, France. pp.65-70. ⟨hal-01188025⟩



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