Presentation 2011-05-26
A Proposal for Building Semantic Network by Mining Human Activity from Web
The-Minh NGUYEN, Masahiro ITOU, Takahiro KAWAMURA, Yasuyuki TAHARA, Akihiko OHSUGA,
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Abstract(in English) The final goal of this paper is to help computers recommend the most suitable action patterns based on user's behaviors. To realize this goal, it is necessary to have a collective intelligence of action patterns. Additionally, we need to understand how to collect activity data, how to express or define each activity. Since it will take a large cost, it is not practical to build this collective intelligence of action patterns in advance. Therefore, in this paper, we propose a novel approach, which can automatically build the collective intelligence of action patterns by mining human activities from web.
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Keyword(in English) Human Activity / Semantic Network / Web Mining / Self-Supervised Learning
Paper # AI2011-8
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Committee AI
Conference Date 2011/5/19(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Proposal for Building Semantic Network by Mining Human Activity from Web
Sub Title (in English)
Keyword(1) Human Activity
Keyword(2) Semantic Network
Keyword(3) Web Mining
Keyword(4) Self-Supervised Learning
1st Author's Name The-Minh NGUYEN
1st Author's Affiliation ()
2nd Author's Name Masahiro ITOU
2nd Author's Affiliation
3rd Author's Name Takahiro KAWAMURA
3rd Author's Affiliation
4th Author's Name Yasuyuki TAHARA
4th Author's Affiliation
5th Author's Name Akihiko OHSUGA
5th Author's Affiliation
Date 2011-05-26
Paper # AI2011-8
Volume (vol) vol.111
Number (no) 70
Page pp.pp.-
#Pages 6
Date of Issue