计算机与数字工程2023，Vol.51Issue(11)：2515-2517,3.DOI:10.3969/j.issn.1672-9722.2023.11.008
Trans系列知识表示方法发展研究
Research on Development of TransX Knowledge Representation Methods
摘要
Abstract
In recent years,knowledge graphs have been widely used in search engines and intelligent recommendation sys-tems,and knowledge representation as a key technology of knowledge graphs has received extensive attention.The knowledge repre-sentation method based on translation models represented by TransE has the advantages of easy understanding,low complexity,and high computational efficiency.At the same time,TransX has good knowledge expression preformance.This paper summarizes the TransX models,and analyzes the improvement between different models and compares their knowledge representation capabilities.It is a reference for the advancement of knowledge representation methods.关键词
知识图谱/知识表示/TransE/TransH/TransRKey words
knowledge graph/knowledge representation/TransE/TransH/TransR分类
数理科学引用本文复制引用
杜晓娟,陶以政,李龚亮..Trans系列知识表示方法发展研究[J].计算机与数字工程,2023,51(11):2515-2517,3.基金项目
国家重点研发计划(编号:2016YFB0801001)资助. （编号:2016YFB0801001）
