WebTribe: Implicit Community Clustering by Semantic Analysis

Damien Leprovost (1)

1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]

Since the advent of Web 2.0, any user becomes a content provider through personal websites, posts on wikis and forums, recommendations, annotations, etc. In this paper, we propose a method to analyze the interests of users based on their publishing activities, by positioning them into a semantic graph. We describe the WebTribe system that allows to extract topic information from collaborative websites and to query the resulting clusters of users.

Mots clés: communities; semantic distance; topic graph

Domaines: Web

Damien Leprovost. WebTribe: Implicit Community Clustering by Semantic Analysis. International Conference on Advances in Semantic (SEMAPRO), Oct 2010, Florence, Italy. pp.186-190. ⟨hal-00803190⟩