FCA-based approach for mining contextualized folksonomy

Authors:
Hak Lae Kim;Suk Hyung Hwang;Hong Gee Kim
Affiliations:
IDA Business Park, Galway, Ireland;Sun Moon University, Tangjeong-myeon, Asan-si, Chungnam, Korea;Seoul National University, Yeongeon-dong, Jongro-gu, Seoul, Korea
Venue:
Proceedings of the 2007 ACM symposium on Applied computing
Year:
2007

Citing 2
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Abstract

We present a novel approach to build the contextualized folksonomy and concept hieracrhies from tags of blogosphere based on Formal Concept Analysis. Our approach is based on the assumption that if a blog has the relationships with others, they would use the similar set of tags. We collect the sample data from blogosphere randomly and then build the concept hierarchies on the basis of the inclusion relations(tags) between the extensions(bloggers). We propose the formalization of the contextualized folksonomy in terms of Formal Concept Analysis and show how our approach can be used to create the contextualized folksonmy for blogosphere. We evaluate our approach by considering an already existing tags of blogosphere.