Analyzing hidden semantics in social bookmarking of open educational resources
Web 2.0 services such as social bookmarking allow users to manage and share the links they find interesting, adding their own tags for describing them. This is especially interesting in the field of open educational resources.
“Analyzing hidden semantics in social bookmarking of open educational resources” discusses the possibilities of using the crowd-sourcing phenomenon of social bookmarking for extracting semantics from the tags added by delicious users which describe links related to open educational resources (OER).
Author Julià Minguillón suggests the use of a simple statistical analysis tool to discover which tags create clusters that can be semantically interpreted. The obtained results are compared with a collection of resources related to OER in order to better understand the real needs of people searching for these.