KNOWLEDGE GRAPH EMBEDDING REPRESENTING METHOD, AND RELATED DEVICE

WIPO Patent Application WO/2021/000745

A1

A knowledge graph embedding representing method and a related device. Said method comprises: acquiring, from a preset knowledge base, N related entities of each entity among M entities of a target knowledge graph, and K concepts corresponding to each related entity; then determining the semantic relativity between each entity and each related entity of the entity, and determining a first entity embedding representation of each related entity according to the corresponding K concepts; then, modeling the embedding representation of the entity/relationship according to the first entity embedding representation and the semantic relativity, and training the model in combination with an attention mechanism and a preset model training method, so as to obtain the embedding representation of the entity/relationship. Said method can capture background content of an entity, achieve semantic extension of the entity, and improve the representation capability of an embedding representation model under a complex relationship among entities, and the accuracy and comprehensiveness of knowledge graph completion.

WU DANPING (CN)
LI XIUXING (CN)
GUO SHUO (CN)
LIU DONG (CN)
JIA YANTAO (CN)
WANG JIANYONG (CN)

PCT/CN2020/096898

January 07, 2021

June 18, 2020

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HUAWEI TECH CO LTD (CN)

G06F16/36

CN105824802A	2016-08-03
CN107391512A	2017-11-24
CN106649550A	2017-05-10
CN109376249A	2019-02-22
US20190122111A1	2019-04-25

SCIHEAD IP LAW FIRM (CN)

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