Machine Learning on Publication Data

We have several projects aiming to analyse data collected about publications. We have also released BibSonomy, a social bookmarking system, that enables users to share and annotate bookmarks and publication.

• HydrAS - Developing methods for Hypothesis-driven Analysis of Sequential Data. 
• REGIO - Contributing to a better understanding of the role of geographic and thematic proximity in the success of scientific research.
• PoSTs I & II - Semantic of collaborative tagging systems.

• PUMA - A project for academic publication managment.