Presentation 1999/7/23
Automatic diagram generation for knowledge navigation
Masashi Murayama, Yuichi Nakamura, Yuichi Ohta,
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Abstract(in English) We often need diagrams for explanation, though a text is the most powerful and effective tools for communication by documents. For this purpose, we propose a novel scheme for diagram generation, in which the semantic structure of a text is effectively translated and linked to the text. This alms at "knowledge navigation" which supports human communication via documents. In this paper, we first describe the characteristics of diagrammatic expressions, and propose several useful categories of expressions. Then, we show the correspondence between diagrams and texts, and our framework for automatic diagram generation. Our preliminary experiments shows the feasibility of "knowledge navigation" by diagrams.
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Keyword(in English) knowledge navigation / diagram generation / hypermedia / knowledge representation / tagged language
Paper # AI99-33
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Committee AI
Conference Date 1999/7/23(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) Automatic diagram generation for knowledge navigation
Sub Title (in English)
Keyword(1) knowledge navigation
Keyword(2) diagram generation
Keyword(3) hypermedia
Keyword(4) knowledge representation
Keyword(5) tagged language
1st Author's Name Masashi Murayama
1st Author's Affiliation Institute of Engineering Mechanics and Systems, University of Tsukuba()
2nd Author's Name Yuichi Nakamura
2nd Author's Affiliation PRESTO, Japan Science and Technology Corporation (JST)
3rd Author's Name Yuichi Ohta
3rd Author's Affiliation Institute of Engineering Mechanics and Systems, University of Tsukuba
Date 1999/7/23
Paper # AI99-33
Volume (vol) vol.99
Number (no) 226
Page pp.pp.-
#Pages 8
Date of Issue