@article{(Open Science Index):https://publications.waset.org/pdf/5780,
	  title     = {FCA-based Conceptual Knowledge Discovery in Folksonomy},
	  author    = {Yu-Kyung Kang and  Suk-Hyung Hwang and  Kyoung-Mo Yang},
	  country	= {},
	  institution	= {},
	  abstract     = {The tagging data of (users, tags and resources) constitutes a folksonomy that is the user-driven and bottom-up approach to organizing and classifying information on the Web. Tagging data stored in the folksonomy include a lot of very useful information and knowledge. However, appropriate approach for analyzing tagging data and discovering hidden knowledge from them still remains one of the main problems on the folksonomy mining researches. In this paper, we have proposed a folksonomy data mining approach based on FCA for discovering hidden knowledge easily from folksonomy. Also we have demonstrated how our proposed approach can be applied in the collaborative tagging system through our experiment. Our proposed approach can be applied to some interesting areas such as social network analysis, semantic web mining and so on.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {5},
	  year      = {2009},
	  pages     = {1371 - 1375},
	  ee        = {https://publications.waset.org/pdf/5780},
	  url   	= {https://publications.waset.org/vol/29},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 29, 2009},
	}