首页> 外文会议> >An approach for automatic learning and inference by knowledge map
【24h】

An approach for automatic learning and inference by knowledge map

机译:一种基于知识图谱的自动学习与推理方法

获取原文

摘要

Knowledge is represented by graph or map is simpler than represented by proposition logics. Students who use the knowledge representation of knowledge map quickly learn to read a graph as IF-THEN and do all their reasoning directly on the graphs without translating them to rules or propositions. Instead, many graphic notations have been developed. Knowledge Map (KM) is a graphic system of logic that is as general as proposition logics.
机译:用图或图表示的知识比用命题逻辑表示的知识更简单。使用知识图谱的知识表示的学生可以快速学习以IF-THEN的形式读取图并直接在图上进行所有推理,而无需将其转换为规则或命题。而是开发了许多图形符号。知识图谱(KM)是逻辑的图形系统,与命题逻辑一样普遍。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号