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FCA-based Approach for Mining Contextualized Folksonomy
- Kim, Hak Lae;
- Hwang, Suk Hyung;
- Kim, Hong Gee
WEB OF SCIENCE
4SCOPUS
9초록
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.
키워드
- 제목
- FCA-based Approach for Mining Contextualized Folksonomy
- 저자
- Kim, Hak Lae; Hwang, Suk Hyung; Kim, Hong Gee
- 발행일
- 2007
- 유형
- Proceedings Paper
- 저널명
- APPLIED COMPUTING 2007, VOL 1 AND 2
- 페이지
- 1340 ~ +
- 언어
- ENG
- 출판사
- ASSOC COMPUTING MACHINERY
- 발행국가
- 미국