Sharing Scientific Knowledge with Knowledge Spaces

نویسندگان

  • Marcos Báez
  • Fabio Casati
  • Maurizio Marchese
چکیده

This paper presents a set of models and an extensible social web platform (namely, Knowledge Spaces) that supports novel and agile social scientific dissemination processes. Knowledge Spaces is based on a model for structured, evolving, and multi-facet scientific resources that allows the representation of structured, evolving, and multi-facet scientific knowledge and metaknowledge, of effective “viral” algorithms for helping scientists find the knowledge they need, and of interaction metaphors that facilitate its usage.

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تاریخ انتشار 2011