A Self-Adapting Method for Knowledge Management in Collaborative and Social Tagging Systems – KCAP2011

Abstract

This paper presents an automatic method to group resources of collaborative-social tagging systems in semantic categories. The main goal is to self-adapt the system to represent the current knowledge.

Authors

Francisco Echarte, José Javier Astrain, Alberto Córdoba, Jesús Villadangos and Aritz Labat

Experiments Data

• Del.icio.us Data MySQL Dump: Part 1 (60MB), Part 2 (60MB), Part 3 (60MB), Part 4 (60MB), Part 5 (60MB), Part 6 (60MB), Part 7 (60MB), Part 8 (60MB), Part 9 (60MB), Part 10 (22MB),

Reference

Francisco Echarte, José Javier Astrain, Alberto Córdoba, Jesus Villadangos, and Aritz Labat. 2011. A self-adapting method for knowledge management in collaborative and social tagging systems. In Proceedings of the sixth international conference on Knowledge capture (K-CAP ’11). ACM, New York, NY, USA, 175-176.