MAKING FOLKSONOMY MACHINE-UNDERSTANDABLE
Prabodh Shrestha, Leva Zhou · 2008
AbstractA recent surge of interest in social tagging, also known as folksonomy, challenges the formal and structured knowledge representation in the Semantic Web. Social tagging is attractive in its low barrier to entry and personal and community aspects. However, the benefits of social tagging come at the cost of reduced machine-understandable and reduce effectiveness in information retrieval and organization. To address the above limitations, we propose a framework, UNITAG, to enhance existing social tagging systems with semantic information. It is shown that the framework facilitates information sharing in folksonomy while retaining the usability of folksonomy.