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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.12
- 수록면
- 603 - 615 (13page)
- DOI
- 10.7232/JKIIE.2020.46.6.603
이용수
초록· 키워드
오류제보하기
We introduce a method to calculate significance of attributes, objects and concepts in a knowledge database. To identify their significances, we consider the weighted Formal Concept Analysis, and evaluate the intrinsic properties of concept lattice. The significance of attributes and objects considers the following four aspects in combination: relevance, common shared or variety, conformance, and contribution. After that, the concept significance utilizes the results of attributes and objects significance. The proposed method makes it possible to reduce the complexity of concept lattice and thereby being able to focus only on the certain basic concepts that we are interested in. We also conducted a case study using the data of the Institute for Management and Development’s World Digital Competitiveness Ranking, and the result indicates that the proposed method is valid for reducing the complexity of concept lattice and useful to find the underlying interesting concepts.
목차
1. 서론
2. 이론적 배경
3. 가중치가 고려된 정형적 개념분석(Weighted Formal Concept Analysis)
4. 사례 연구
5. 결론
참고문헌
참고문헌 (29)
참고문헌 신청
Arnauld, A. and Nicole, P. (1850), Logic; or, the Art of Thinking : Being the Port Royal logic, Sutherland and Knox.
Chaudron, L. and Maille, N. (2000), Generalized Formal Concept Analysis, In International Conference on Conceptual Structures (pp. 357- 370). Springer, Berlin, Heidelberg.
Chaudron, L., Maille, N., and Boyer, M. (2003), The Cube Lattice Model and its Applications, Applied Artificial Intelligence, 17(3), 207-242.
Cimiano, P., Hotho, A., and Staab, S. (2005), Learning Concept Hierarchies from Text Corpora Using Formal Concept Analysis, Journal of Artificial Intelligence Research, 24, 305-339.
Cimiano, P., Hotho, A., Stumme, G., and Tane, J. (2004), Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies, In International Conference on Formal Concept Analysis (pp. 189- 207). Springer, Berlin, Heidelberg.
Chaudron, L. and Maille, N. (2000), Generalized Formal Concept Analysis, In International Conference on Conceptual Structures (pp. 357- 370). Springer, Berlin, Heidelberg.
Chaudron, L., Maille, N., and Boyer, M. (2003), The Cube Lattice Model and its Applications, Applied Artificial Intelligence, 17(3), 207-242.
Cimiano, P., Hotho, A., and Staab, S. (2005), Learning Concept Hierarchies from Text Corpora Using Formal Concept Analysis, Journal of Artificial Intelligence Research, 24, 305-339.
Cimiano, P., Hotho, A., Stumme, G., and Tane, J. (2004), Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies, In International Conference on Formal Concept Analysis (pp. 189- 207). Springer, Berlin, Heidelberg.
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