Tagging with DHARMA, a DHT-based approach for resource mapping through approximation

Abstract

We introduce collaborative tagging and faceted search on structured P2P systems. Since a trivial and brute force mapping of an entire folksonomy over a DHT-based system may reduce scalability, we propose an approximated graph maintenance approach. Evaluations on real data coming from Last.fm prove that such strategies reduce vocabulary noise (i.e., representation's overfitting phenomena) and hotspots issues.

Tagging relations to achieve complex search goals

“…Services like Yahoo! TagExplorer allow to specify narrower tags at each search step with the aim of quickly converging to a small set of resources, and other work has been done in realizing platforms for tag navigation [14], automatic tag clustering [15], and in improving the user experience in navigational search [16].…”