Presentation 2003/9/7
Key Term Extraction and Visualization for Knowledge Chain Discovery Support : Visual function of TermLinker system
Konomu DOBASHI, Hiroyuki YAMAUCHI, Ryuki TACHIBANA,
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Abstract(in English) This paper presents a method of extracting key terms to visualize the knowledge chain from text corpus. The TermLinker system has developed to extracting cooccurrence relation of key terms from document sentences. The system generates to visualize the knowledge chain using extracted cooccurrence relation of key terms. Proposed method creates partial knowledge hierarchy automatically by concept network. The purpose of the system is to visualize the cooccurrence relationships and help users to understand the relationships of key terms in documents.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Text Mining / Key term / Visualization
Paper # AI2003-38
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Committee AI
Conference Date 2003/9/7(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Key Term Extraction and Visualization for Knowledge Chain Discovery Support : Visual function of TermLinker system
Sub Title (in English)
Keyword(1) Text Mining
Keyword(2) Key term
Keyword(3) Visualization
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 2003/9/7
Paper # AI2003-38
Volume (vol) vol.103
Number (no) 304
Page pp.pp.-
#Pages 6
Date of Issue