Abstract
Systems capable of autonomous thinking and estimation have been required to cope with unknown situations. One of the important issues is knowledge, especially common sense, acquisition. This paper proposes new quantitative common sense estimation methods and applies them to an automatic membership function generation system. The proposed system estimates threshold values corresponding to large and small for various kinds of object-attribute sets to make membership functions. Here, the proposed system tries to relate each object and the impression. Two methods are proposed in this paper. The method-1 obtains data from top 1,000 snippets by Web search and estimates the global and local tendencies by clustering. The method-2 uses the number of hits in Web search together with parts of the results obtained by the method-1. In addition, several techniques are devised to eliminate unnecessary information from the retrieved Web pages. We carried out evaluation experiments: the effectiveness of the proposed methods has been shown and effectiveness of the combined method is indicated.
| Original language | English |
|---|---|
| Title of host publication | 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 |
| Pages | 1335-1340 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan Duration: 2012 Nov 20 → 2012 Nov 24 |
Other
| Other | 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 |
|---|---|
| Country | Japan |
| City | Kobe |
| Period | 12/11/20 → 12/11/24 |
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Keywords
- knowledge acquisition
- membership function
- quantitative common sense
- Web
ASJC Scopus subject areas
- Artificial Intelligence
- Software
Cite this
Quantitative common sense estimation system and its application to automatic membership function generation. / Igawa, Yuta; Hagiwara, Masafumi.
6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. 2012. p. 1335-1340 6505176.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Quantitative common sense estimation system and its application to automatic membership function generation
AU - Igawa, Yuta
AU - Hagiwara, Masafumi
PY - 2012
Y1 - 2012
N2 - Systems capable of autonomous thinking and estimation have been required to cope with unknown situations. One of the important issues is knowledge, especially common sense, acquisition. This paper proposes new quantitative common sense estimation methods and applies them to an automatic membership function generation system. The proposed system estimates threshold values corresponding to large and small for various kinds of object-attribute sets to make membership functions. Here, the proposed system tries to relate each object and the impression. Two methods are proposed in this paper. The method-1 obtains data from top 1,000 snippets by Web search and estimates the global and local tendencies by clustering. The method-2 uses the number of hits in Web search together with parts of the results obtained by the method-1. In addition, several techniques are devised to eliminate unnecessary information from the retrieved Web pages. We carried out evaluation experiments: the effectiveness of the proposed methods has been shown and effectiveness of the combined method is indicated.
AB - Systems capable of autonomous thinking and estimation have been required to cope with unknown situations. One of the important issues is knowledge, especially common sense, acquisition. This paper proposes new quantitative common sense estimation methods and applies them to an automatic membership function generation system. The proposed system estimates threshold values corresponding to large and small for various kinds of object-attribute sets to make membership functions. Here, the proposed system tries to relate each object and the impression. Two methods are proposed in this paper. The method-1 obtains data from top 1,000 snippets by Web search and estimates the global and local tendencies by clustering. The method-2 uses the number of hits in Web search together with parts of the results obtained by the method-1. In addition, several techniques are devised to eliminate unnecessary information from the retrieved Web pages. We carried out evaluation experiments: the effectiveness of the proposed methods has been shown and effectiveness of the combined method is indicated.
KW - knowledge acquisition
KW - membership function
KW - quantitative common sense
KW - Web
UR - http://www.scopus.com/inward/record.url?scp=84877813430&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877813430&partnerID=8YFLogxK
U2 - 10.1109/SCIS-ISIS.2012.6505176
DO - 10.1109/SCIS-ISIS.2012.6505176
M3 - Conference contribution
AN - SCOPUS:84877813430
SN - 9781467327428
SP - 1335
EP - 1340
BT - 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
ER -