FCA-based Approach for Mining Contextualized Folksonomy
- Authors
- Kim, Hak Lae; Hwang, Suk Hyung; Kim, 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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Collections - College of Social Sciences > Department of Library & Information Science > 1. Journal Articles
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