The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 08, 2023

Filed:

Jul. 13, 2018
Applicant:

Guangdong Shenma Search Technology Co., Ltd., Guangzhou, CN;

Inventors:

Yue Wang, Guangzhou, CN;

Wei You, Guangzhou, CN;

Weixing Zhang, Guangzhou, CN;

Nengwei Hua, Guangzhou, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/335 (2019.01); G06F 16/901 (2019.01); G06N 5/02 (2023.01); G06N 5/022 (2023.01); G06F 18/00 (2023.01); G06F 18/22 (2023.01); G06F 18/243 (2023.01); G06N 5/01 (2023.01);
U.S. Cl.
CPC ...
G06F 16/9024 (2019.01); G06F 18/00 (2023.01); G06F 18/22 (2023.01); G06F 18/24323 (2023.01); G06N 5/01 (2023.01); G06N 5/02 (2013.01); G06N 5/022 (2013.01);
Abstract

The present invention provides a knowledge graph construction method and device. The method includes: obtaining structured data, where the structured data includes a first entity name of a first entity and attribute information corresponding to the first entity name, and the attribute information includes a first attribute and a first attribute value; performing, based on measurement of a similarity between the first entity and a second entity in a knowledge graph, entity alignment processing on the first entity, where the measurement of the similarity includes at least one of the following types: measurement of a character similarity, measurement of a structure similarity of a classification tree on which an entity is located, and measurement of an attribute similarity; and importing the structured data into the knowledge graph according to an entity alignment processing result. Embodiments may ensure correctness of data in the knowledge graph.


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