Presentation 1999/4/23
A Semantic Map Approach to a Navigation System for Exploratory Learning in Hyperspace
Mizue KAYAMA, Toshio OKAMOTO,
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Abstract(in English) In this paper, we propose a framework based on a sub-symbolic approach for the support of exploratory activities in a hyper space. By using our framework, it is possible to express the semantic feature of whole hyper space and the state of the exploratory activity in topological order. This approach is applied to generate the navigation information for exploratory activity. By using our approach, the space explored is reconstituted automatically by the semantic similarities of the nodes which constitute that space. The exploratory history of the user is expressed quantitatively for evaluating the quality of exploratory activity. This quantitative state is evaluated by 5 indices based on attributions given in hyper space, nodes and links.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Semantic Map / Hyper Space / Exploratory learning / Sub-Symbolic Approach / Self-Organizing Map
Paper # ET99-9
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Committee ET
Conference Date 1999/4/23(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Semantic Map Approach to a Navigation System for Exploratory Learning in Hyperspace
Sub Title (in English)
Keyword(1) Semantic Map
Keyword(2) Hyper Space
Keyword(3) Exploratory learning
Keyword(4) Sub-Symbolic Approach
Keyword(5) Self-Organizing Map
1st Author's Name Mizue KAYAMA
1st Author's Affiliation The Graduate School of Information Systems, The University of Electro-Communications()
2nd Author's Name Toshio OKAMOTO
2nd Author's Affiliation The Graduate School of Information Systems, The University of Electro-Communications
Date 1999/4/23
Paper # ET99-9
Volume (vol) vol.99
Number (no) 31
Page pp.pp.-
#Pages 8
Date of Issue