New Tagging Paradigms for Enhancing Collaboration in Web 2.0 Communities

Abstract

In this paper we present new sophisticated tagging paradigms and their influence on users collaboration behavior and the construction of user– and context–models. We present paradigms like alien tagging which allows one user to apply tags for another user, reputation-based tagging which allows users’ expertise to influence tags’ weights, quantitative tagging which allows users to manually manipulate tags’ weights, anti tagging which allows users to specify ”negative tags”, tag voting to solve the tag space littering problem by e.g. allowing users to vote against tags, tag expiry which allows tags to have a lifetime, contextual tagging which allows tags to be associated to certain context profiles, and so forth and describe how these can be used to refine our models and to perform even more valuable adaptations or to issue more valuable. We also allow for mechanisms to follow users’ tagging ”trails” in order to learn from what they are tagging. All these techniques aim to provide the user with more advanced ways, to add, filter, group and view tags. The concepts presented are currently been prototypically implemented within IBMs WebSphere Portal and can be presented in a live demo at the workshop.