Aquatic Medicine Knowledge Graph Completion Based on Hybrid Convolution  

作　　者：Huining Yang Qishu Song Liming Shao Guangyu Li Zhetao Sun Hong Yu 

机构地区：[1]School of Dalian Ocean University and Key Laboratory of Facilities Fisheries Ministry of Education,Dalian 116023,China

出　　处：《Journal of Beijing Institute of Technology》2023年第3期298-312,共15页北京理工大学学报（英文版）

基　　金：supported by the Key Laboratory of Environment Controlled Aquaculture(Dalian Ocean University)Ministry of Education(No.2021-MOEKLECA-KF-05);the National Natural Science Foundation of China Youth Science(No.61802046)。

摘　　要：Aquatic medicine knowledge graph is an effective means to realize intelligent aquaculture.Graph completion technology is key to improving the quality of knowledge graph construction.However,the difficulty of semantic discrimination among similar entities and inconspicuous semantic features result in low accuracy when completing aquatic medicine knowledge graph with complex relationships.In this study,an aquatic medicine knowledge graph completion method(TransH+HConvAM)is proposed.Firstly,TransH is applied to split the vector plane between entities and relations,ameliorating the poor completion effect caused by low semantic resolution of entities.Then,hybrid convolution is introduced to obtain the global interaction of triples based on the complete interaction between head/tail entities and relations,which improves the semantic features of triples and enhances the completion effect of complex relationships in the graph.Experiments are conducted to verify the performance of the proposed method.The MR,MRR and Hit@10 of the TransH+HConvAM are found to be 674,0.339,and 0.361,respectively.This study shows that the model effectively overcomes the poor completion effect of complex relationships and improves the construction quality of the aquatic medicine knowledge graph,providing technical support for intelligent aquaculture.

关 键 词：aquatic medicine knowledge graph graph completion hybrid convolution global features 

分 类 号：S951.2[农业科学—水产养殖] TP391.1[农业科学—水产科学]