DocumentCode
465848
Title
KeyGraph-based BBS for Online Chance Discovery
Author
Seo, Yuta ; Iwase, Yoshihiro ; Takama, Yasufumi
Author_Institution
Tokyo Metropolitan Univ., Tokyo
Volume
2
fYear
2006
fDate
8-11 Oct. 2006
Firstpage
1754
Lastpage
1758
Abstract
A bulletin board system (BBS) equipped with KeyGraph is proposed for supporting online chance discovery process. While conventional meeting for chance discovery with KeyGraph requires participants to meet in a meeting room, the paper aims to expand the discussion space over the Internet. In order to support online chance discovery process, the BBS has functions for assisting a user in writing scenarios with visual annotation on the KeyGraph. The system also has a function for retrieving similar scenarios. The experimental result with test subjects shows the effectiveness of the BBS for online chance discovery process.
Keywords
Internet; data mining; graph theory; information retrieval; Internet; bulletin board system; information retrieval; keygraph; online chance discovery process; Bridges; Cybernetics; Dairy products; Data visualization; Internet; Joining processes; Meetings; Proposals; Testing; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location
Taipei
Print_ISBN
1-4244-0099-6
Electronic_ISBN
1-4244-0100-3
Type
conf
DOI
10.1109/ICSMC.2006.384973
Filename
4274107
Link To Document