Abstract
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 scientific resources that allows the representation of scientific knowledge and meta-knowledge, of effective “viral” algorithms for helping scientists find the knowledge they need, and of interaction metaphors that facilitate its usage. The concept and a preliminary implementation of Knowledge spaces, in their various forms and designs, are being exploited in several different pilots.
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© 2011 Springer-Verlag Berlin Heidelberg
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Baez, M., Casati, F., Marchese, M. (2011). Knowledge Spaces. In: Auer, S., Díaz, O., Papadopoulos, G.A. (eds) Web Engineering. ICWE 2011. Lecture Notes in Computer Science, vol 6757. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22233-7_25
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DOI: https://doi.org/10.1007/978-3-642-22233-7_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22232-0
Online ISBN: 978-3-642-22233-7
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