Uncertain knowledge graph embedding:an effective method combining multi-relation and multi-path  

作　　者：Qi LIU Qinghua ZHANG Fan ZHAO Guoyin WANG 

机构地区：[1]Key Laboratory of Tourism Multisource Data Perception and Decision,Ministry of Culture and Tourism,Chongqing University of Posts and Telecommunications,Chongqing 400065,China [2]Chongqing Key Laboratory of Computational Intelligence,Chongqing University of Posts and Telecommunications,Chongqing 400065,China [3]Chongqing Key Laboratory of Big Data Intelligent Computing,Chongqing University of Posts and Telecommunications,Chongqing 400065,China

出　　处：《Frontiers of Computer Science》2024年第3期73-89,共17页中国计算机科学前沿（英文版）

基　　金：the National Key Research and Development Program of China(Nos.2020YFC2003502,2021YFF0704101);the National Natural Science Foundation of China(Grant No.62276038);the Natural Science Foundation of Chongqing(Nos.cstc2019jcyj-cxttX0002,cstc2021ycjh-bgzxm0013);the Key Cooperation Project of Chongqing Municipal Education Commission(HZ20210-08).

摘　　要：Uncertain Knowledge Graphs(UKGs)are used to characterize the inherent uncertainty of knowledge and have a richer semantic structure than deterministic knowledge graphs.The research on the embedding of UKG has only recently begun,Uncertain Knowledge Graph Embedding(UKGE)model has a certain effect on solving this problem.However,there are still unresolved issues.On the one hand,when reasoning the confidence of unseen relation facts,the introduced probabilistic soft logic cannot be used to combine multi-path and multi-step global information,leading to information loss.On the other hand,the existing UKG embedding model can only model symmetric relation facts,but the embedding problem of asymmetric relation facts has not be addressed.To address the above issues,a Multiplex Uncertain Knowledge Graph Embedding(MUKGE)model is proposed in this paper.First,to combine multiple information and achieve more accurate results in confidence reasoning,the Uncertain ResourceRank(URR)reasoning algorithm is introduced.Second,the asymmetry in the UKG is defined.To embed asymmetric relation facts of UKG,a multi-relation embedding model is proposed.Finally,experiments are carried out on different datasets via 4 tasks to verify the effectiveness of MUKGE.The results of experiments demonstrate that MUKGE can obtain better overall performance than the baselines,and it helps advance the research on UKG embedding.

关 键 词：knowledge representation uncertain knowledge graph multi-relation embedding uncertain reasoning 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]