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 structured, evolving, and multi-facet scientific resources that allows the representation of structured, evolving, and multi-facet 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.
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Baez, M., Birukou, A., Casati, F., Marchese, M.: Addressing Information Overload in the Scientific Community. IEEE Internet Computing 14(6), 31–38 (2010), doi:10.1109/MIC.2010.107
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© 2011 Springer-Verlag Berlin Heidelberg
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Baez, M., Casati, F., Marchese, M. (2011). Sharing Scientific Knowledge with Knowledge Spaces. In: Datta, A., Shulman, S., Zheng, B., Lin, SD., Sun, A., Lim, EP. (eds) Social Informatics. SocInfo 2011. Lecture Notes in Computer Science, vol 6984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24704-0_36
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DOI: https://doi.org/10.1007/978-3-642-24704-0_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24703-3
Online ISBN: 978-3-642-24704-0
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