Visual Knowledge Structure Reasoning with Intelligent Topic Map

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概要

• 論文の詳細を見る

• This paper presents a visual knowledge structure reasoning method using Intelligent Topic Map which extends the conventional Topic Map in structure and enhances its reasoning functions. Visual knowledge structure reasoning method integrates two types of knowledge reasoning: the knowledge logical relation reasoning and the knowledge structure reasoning. The knowledge logical relation reasoning implements knowledge consistency checking and the implicit associations reasoning between knowledge points. We propose a Knowledge Unit Circle Search strategy for the knowledge structure reasoning. It implements the semantic implication extension, the semantic relevant extension and the semantic class belonging confirmation. Moreover, the knowledge structure reasoning results are visualized using ITM Toolkit. A prototype system of visual knowledge structure reasoning has been implemented and applied to the massive knowledge organization, management and service for education.

• （社）電子情報通信学会の論文
• 2010-10-01

著者

• CHEN Xi

  Department of Civil Engineering and Engineering Mechanics, Columbia University

• Chen Xi

  Department Of Machine Learning School Of Computer Science Carnegie Mellon University

• LU Huimin

  School of Electronic and Information Engineering, Xi'an Jiaotong University

• FENG Boqin

  School of Electronic and Information Engineering, Xi'an Jiaotong University

• Chen Xi

  Department Of Civil Engineering And Engineering Mechanics Columbia University

• Feng Boqin

  School Of Electronic And Information Engineering Xi'an Jiaotong University

• Lu Huimin

  School Of Electronic And Information Engineering Xi'an Jiaotong University

• Chen Xi

  Department Of Chemistry And The Key Laboratory Of Analytical Sciences Of The Ministry Of Education C

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