摘要
针对公安多数据源数据融合分析过程中常出现不同数据源中同一实体对象存在不同关系描述的情况,提出了一种结合实体关系时间属性权值和数据源权重的实体关系真实度计算算法,以数据源为基准单位,实现了对多数据源融合的实体关系关联度计算和有效性分析。实验结果表明,此算法能有效降低数据融合过程中带来的实体关联值计算偏差,提高实体关系之间发现的实时性和准确率,提升数据资源的情报价值。
There are often different relationship descriptions of the same entity in different data sources in the process of public security multiple data sources fusion analysis.This paper proposes an entity relationship authenticity calculation algorithm that combines the entity relationship time weight and the data source weight.With the data source as the reference unit,the association calculation and validity analysis of the entity relationship of the multi-data source fusion.The experimental results show that the proposed algorithms can effectively reduce the calculation bias of correlation values brought by the data fusion process,improve the real-time and accuracy of entity relationship discovery,and enhance the intelligence value of data source.
作者
周凯
周宏
ZHOU Kai;ZHOU Hong(Department of Information Security,Chongqing Police College,Chongqing 401331,China;Department of Cyber Security Protection,Chongqing Municipal Public Security Bureau,Chongqing 401120,China)
出处
《中国人民公安大学学报（自然科学版）》
2020年第1期99-103,共5页
Journal of People’s Public Security University of China(Science and Technology)
基金
重庆市教委科学技术基金项目(KJQN201801703)。
关键词
多数据源
实体关系
时间属性
数据源权重
关联值计算
multi-data source
entity-relation
time weight
data source weight
associated value calculation
