A semantic approach to analyse scientific collaborative networks

Abstract:

Collaboration is key to achieve the scientific excellence. This paper presents a top conceptual view to analyze collaboration networks. This approach is based on the semantic exploitation of open sources of knowledge hierarchically organized and collaboratively created by people. Researchers could use this model in order to find peers interested in common or related subjects, or they could use it to know the subjects of interest in a certain sector. In this paper, one application scenario is presented: discovery of popular subjects underlying to scientific production of some countries of the Andean region.

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