KeyGraph-based BBS for Supporting Online Chance Discovery Process

Yuta Seo; Yoshihiro Iwase; Yasufumi Takama

doi:10.14864/softscis.2006.0.1210.0

SCIS & ISIS 2006

Session ID : FR-I3-2

DOI https://doi.org/10.14864/softscis.2006.0.1210.0

Conference information

Host: Japan SOciety for Fuzzy Theory and intelligent informatics

Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"

FR-I3 Chance Discovery

KeyGraph-based BBS for Supporting Online Chance Discovery Process

*Yuta Seo, Yoshihiro Iwase, Yasufumi Takama

Author information

Keywords: chance discovery, data annotation, BBS

CONFERENCE PROCEEDINGS FREE ACCESS

Details

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. A prototype BBS is implemented, and the experimental result with test subjects shows the effectiveness of the BBS for online chance discovery process.

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