【24h】

Overview of Knowledge Mapping Construction Technology

机译:知识图谱构建技术概述

获取原文

摘要

With the advent of the era of big data, knowledge engineering has received extensive attention. How to extract useful knowledge from massive data is the key to big data analysis. Knowledge map technology provides a means to extract structured knowledge from massive texts and images, and thus has broad application prospects. This paper first discusses the significance of knowledge mapping research. Secondly, it introduces the key technologies of knowledge map construction, including entity relationship recognition technology, knowledge fusion technology, entity link technology and knowledge reasoning technology. Then give an introduction to the existing open knowledge map dataset. Finally, the application case of knowledge map in intelligence analysis is given.
机译:随着大数据时代的到来,知识工程受到了广泛的关注。如何从海量数据中提取有用的知识是大数据分析的关键。知识图技术提供了一种从大量文本和图像中提取结构化知识的方法,因此具有广阔的应用前景。本文首先讨论了知识图谱研究的意义。其次,介绍了知识图谱构建的关键技术,包括实体关系识别技术,知识融合技术,实体链接技术和知识推理技术。然后,介绍现有的开放知识地图数据集。最后给出了知识图谱在智能分析中的应用实例。

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