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FCA-based Approach for Mining Contextualized Folksonomy

Authors
Kim, Hak LaeHwang, Suk HyungKim, Hong Gee
Issue Date
2007
Publisher
ASSOC COMPUTING MACHINERY
Keywords
Folksonomy; Formal Concept Analysis; Tagging
Citation
APPLIED COMPUTING 2007, VOL 1 AND 2, pp 1340 - +
Journal Title
APPLIED COMPUTING 2007, VOL 1 AND 2
Start Page
1340
End Page
+
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65401
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 pro pose 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.
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Kim, Hak Lae
사회과학대학 (문헌정보학과)
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