Presentation 1997/9/26
Mechanism for Knowledge-Navigation in Hyper-space with Neural Networks (3)
Mizue KAYAMA, Toshio OKAMOTO,
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Abstract(in English) Hypermedia is the software to provide an effective learning environment, where users can acquire necessary knowledge by having access to huge information space freely. However, there are some disadvantages, such as users losing their way during searching for particular pieces of information. In this study, we construct a sophisticated hypermedia system to give some appropriate advice of navigation to users. We propose a user model that represents exploring activities in Hyper-space, and a mechanism to decide navigation strategy with neural network.
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Keyword(in English) hyper-space / knowledge-navigation / exploring activity / neural network / navigation strategy
Paper # ET97-44
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Conference Date 1997/9/26(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Mechanism for Knowledge-Navigation in Hyper-space with Neural Networks (3)
Sub Title (in English)
Keyword(1) hyper-space
Keyword(2) knowledge-navigation
Keyword(3) exploring activity
Keyword(4) neural network
Keyword(5) navigation strategy
1st Author's Name Mizue KAYAMA
1st Author's Affiliation The Graduate School of Information Systems, University of Electro-Communications()
2nd Author's Name Toshio OKAMOTO
2nd Author's Affiliation The Graduate School of Information Systems, University of Electro-Communications
Date 1997/9/26
Paper # ET97-44
Volume (vol) vol.97
Number (no) 291
Page pp.pp.-
#Pages 8
Date of Issue