一种基于相似度计算的实体数据关系归属方法  

A Relationship Attribution Method for Entity Data Based on Similarity Calculation

作　　者：冒鸿宇 孙刘杰[1] 朱衍熹 Hongyu Mao;Liujie Sun;Yanxi Zhu(College of Publishing,University of Shanghai for Science and Technology,Shanghai)

机构地区：[1]上海理工大学出版学院,上海

出　　处：《运筹与模糊学》2024年第5期230-237,共8页Operations Research and Fuzziology

摘　　要：特定领域的数据蕴含了大量有价值的知识及关系划分,从中能正确将其进行关系划分一直是一个值得关注的话题。当前关系划分都依赖于大量样本模型进行训练得出,由于特定领域的实体数据关系样本数量较少,显然应用到特定领域中存在局限。因此本文针对该问题,提出一种基于相似度计算的实体数据关系归属方法,其中建立一个特定领域的少样本实体关系术语树,与待划分的实体数据进行相似度计算得到在树中具体位置,从而解决错误归属问题,显著减少人工管理成本,能够有效提升系统的可用性。Domain-specific data contains a large amount of valuable knowledge and relationship delineation,from which it is always a topic of interest to be able to correctly perform relationship delineation.Currently,the relationship classification relies on a large number of sample models for training,due to the small number of domain-specific entity data relationship samples,it is obvious that there are limitations in applying to specific domains.Therefore,in this paper,we propose a similarity-based relationship attribution method for entity data,in which a domain-specific entity relationship term tree with few samples is established,and the entity data to be partitioned is similarity-calculated to get the specific position in the tree,thus solving the problem of misattribution,significantly reducing the cost of manual management,and effectively improving the usability of the system.

关 键 词：相似度计算 实体关系 实体归属 实体数据 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]