Presentation 2013-06-22
Opinion Aggregation Method for BOK Construction by Collective Intelligence
Taro YABUKI, Takeshi MORITA, Yoshifumi MASUNAGA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose BOK (Body of Knowledge) construction method that uses syllabuses of a department or a faculty of a college. This method is a kind of trials that harness collective intelligence to construct BOK. Cluster analysis is introduced as an aggregation mechanism that is thought to be essential to harness collective intelligence. We have tried this method to reproduce Computer Science Body of Knowledge from courses of Computing Curricula 2001. In this paper, we try to construct Social Informatics Body of Knowledge. The effectiveness of our method is discussed based on examination of the result by professors and comparison with BOK being made by another method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) body of knowledge / collective intelligence / syllabus / clustering / cluster analysis
Paper # DE2013-18
Date of Issue

Conference Information
Committee DE
Conference Date 2013/6/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Opinion Aggregation Method for BOK Construction by Collective Intelligence
Sub Title (in English)
Keyword(1) body of knowledge
Keyword(2) collective intelligence
Keyword(3) syllabus
Keyword(4) clustering
Keyword(5) cluster analysis
1st Author's Name Taro YABUKI
1st Author's Affiliation Faculty of Social Systems Science, Chiba Institute of Technology()
2nd Author's Name Takeshi MORITA
2nd Author's Affiliation School of Social Informatics, Aoyama Gakuin University
3rd Author's Name Yoshifumi MASUNAGA
3rd Author's Affiliation Ochanomizu University
Date 2013-06-22
Paper # DE2013-18
Volume (vol) vol.113
Number (no) 105
Page pp.pp.-
#Pages 6
Date of Issue