火力与指挥控制2025，Vol.50Issue(4)：177-182,189,7.DOI:10.3969/j.issn.1002-0640.2025.04.024
基于数据表相似度的军事实体数据融合方法
Military Entity Data Fusion Method Based on Data Table Similarity
吴波 1李晓婷 1刘波 1王凯 1郑博1
作者信息
- 1. 北方自动控制技术研究所,太原 030006
- 折叠
摘要
Abstract
Under the guidance of top-level specifications of the data architecture,multi-source data fusion needs to solve problems such as content redundancy and data conflicts between various fields in military data.In this process,similar tables need to be manually selected from a large number of data tables,which is inefficient.To address these problems,this paper proposes a military entity data fusion method based on data table similarity,this method helps operators quickly identify highly correlated entity data tables and improves the efficiency of entity data attribute fusion by excluding irrelevant tables through the similarity of table names and field names and calculating the correlation between column values using mutual information.关键词
表相似度/互信息量/数据融合/军事实体数据/文本相似度/规则引擎Key words
table similarity/mutual information/data fusion/military entity data/text similarity/rule engine分类
信息技术与安全科学引用本文复制引用
吴波,李晓婷,刘波,王凯,郑博..基于数据表相似度的军事实体数据融合方法[J].火力与指挥控制,2025,50(4):177-182,189,7.
