This paper proposed a domain ontology construction method based on knowledge graphs.
提出了一种基于知识图的领域本体半自动构建方法。
This rule is a hybrid knowledge representation method that the premise, conclusion and advice of the rules are conceptual graphs.
扩展产生式规则将规则的前提、结论和建议分别用概念图表示，是一种混合知识表示方法。
Word graphs, phrase graphs are concluded in Knowledge Graph, Word graphs are automatic generate according to Hownet, phrase graphs are combined by Word graphs.
在本文中，知识图中的词图是根据知网中的语义词典自动生成的，短语图是在短语分析过程中由词图合并得来的。
Firstly the paper analyzes the defect of technique of the VSM model. And then put forward one technique based - on semantic for relevance feedback, using the knowledge of conceptual graphs.
文中从基于向量空间的反馈技术的分析入手，利用概念图的知识，提出了基于语义的相关反馈技术。
Firstly the paper analyzes the defect of technique of the VSM model. And then put forward one technique based - on semantic for relevance feedback, using the knowledge of conceptual graphs.
文中从基于向量空间的反馈技术的分析入手，利用概念图的知识，提出了基于语义的相关反馈技术。
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