ECKDF: Extended conceptual knowledge discovery in folksonomy

Social bookmarking tools are rapidly emerging on the Web. A conceptual structure called folksonomy plays an important role in such systems. The folksonomy is constitute of tagging data(users, tags, resources) which organizing and classifying information on the Web. Tagging data stored in the folksonomy includes a lot of very useful information and knowledge. Unlike ontologies, shared conceptualizations in folksonomy are not formalized and it is rather implicit. The hidden knowledge Discovering from folksonomy is becoming the main research task among the social sharing resources systems. In this paper, we propose an approach of folksonomy data mining based on Variable Precise Concepts (VPC) for discovering the extended conceptual knowledge(tag recommendation, resources suggestion) from folksonomy. Finally, the feasibility and efficiency of our approach are demonstrated by experiments.