Presentation 2003/8/22
Keyword Mining and Visualization from Text Corpus for Knowledge Chain Discovery Support
Konomu DOBASHI, Hiroyuki YAMAUCHI, Ryuki TACHIBANA,
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Abstract(in English) This study considered a method of extracting cooccurrence relation of keywords to visualize the knowledge chain from HTML document corpus. The TermLinker system has a function to extracting cooccurrence relation of keywords from document sentences using text mining. The system can visualize the knowledge chain linking extracted cooccurrence relation of keywords with concept network. Proposed method creates partial knowledge hierarchy automatically by concept network. User can interact with the system and manipulate the mapped keywords that remind user to new terms and relation sips which users forgot or do not remind.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Text Mining / Keyword / Visualization / Knowledge Chain / Discovery Support
Paper # NLC2003-24
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Committee NLC
Conference Date 2003/8/22(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Keyword Mining and Visualization from Text Corpus for Knowledge Chain Discovery Support
Sub Title (in English)
Keyword(1) Text Mining
Keyword(2) Keyword
Keyword(3) Visualization
Keyword(4) Knowledge Chain
Keyword(5) Discovery Support
1st Author's Name Konomu DOBASHI
1st Author's Affiliation Faculty of Modern Chinese Studies, Aichi University()
2nd Author's Name Hiroyuki YAMAUCHI
2nd Author's Affiliation Maebashi Institute of Technology
3rd Author's Name Ryuki TACHIBANA
3rd Author's Affiliation IBM Research, Tokyo Research Laboratory
Date 2003/8/22
Paper # NLC2003-24
Volume (vol) vol.103
Number (no) 280
Page pp.pp.-
#Pages 6
Date of Issue