概念地图形式化及语义分析方法
首发时间:2015-11-30
摘要:人类社会加速进入大数据时代,"数据-知识-行动"三位一体,使得数据转化为知识,并进而转化为行动的过程更加快捷。概念地图作为一种具有坚实理论基础和科学依据的认知工具和学习工具在社会生活的各个领域获得很多应用,但由于其缺乏科学的形式化描述,特别是语义表示机制,从而制约了其定性建模和定量分析能力。因此本研究旨在回顾概念地图形式化理论和方法的基础上,基于索沃的概念结构理论,提出同时兼顾语义内容和语法结构的概念地图形式化及语义分析方法,并构建概念地图语义分析原型系统。本研究所提出的本研究对丰富基于概念地图的知识建模理论,创新概念地图形式化方法,建立概念地图分析工具,指导定性定量相结合的知识管理实践等方面都具有重要的理论和实践意义。
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Concept Map Formalism and Semantic Analysis
Abstract:"Data-Knowledge-Action" has been the main theme of the forthcoming big data era. As a powerful knowledge management and congitive study tool, concept maps have gained wide attention of academics and practitioners. However, due to loose definitions, current concept map studies generally neglect the formalization of concept maps. It further limits the qualitative modeling and quantitatively analysis capability of concept maps. Therefore, in this study, I proposed a formalism of concept maps based on the Conceptual Graph Theory. I also delineated several key semantic analysis methods based on the proposed formalism. Further, I outlined an system architecture to implement such formalism and semantic analysis methods. I also elaborated the practical and theoretical contributions of the study.
Keywords: Concept Map Knowledge Management Semantic Analysis Methods Concept Map Formalism.
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