Entity attribute value identification method, device, equipment, medium and program product

By determining the weights and priorities of entity attributes in the knowledge graph and selecting the attribute value from the highest priority source, the problems of high computational cost and insufficient accuracy in existing technologies are solved, and efficient and accurate entity attribute value recognition is achieved.

CN114511085BActive Publication Date: 2026-07-03TENCENT TECHNOLOGY (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TENCENT TECHNOLOGY (SHENZHEN) CO LTD
Filing Date
2022-04-19
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing technologies lack solutions that save computational resources and accurately identify entity attribute values, resulting in high computational costs and insufficient accuracy when constructing knowledge graphs.

Method used

By obtaining the triples and their weights in the first knowledge graph, the weight and priority ranking of each entity attribute on different sources are determined, and the attribute value from the highest priority source is selected as the target attribute value.

Benefits of technology

It improves the accuracy of entity attribute value recognition, saves computing resources, reduces the influence of subjective judgment, and improves the efficiency of the recognition process.

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Abstract

This application provides a method, apparatus, device, medium, and program product for identifying entity attribute values; applicable to game technology in the field of artificial intelligence; the method includes: acquiring a first knowledge graph; determining the weight of each entity attribute on its corresponding multiple sources based on the weight of each triple, and then determining the source priority ranking of the multiple sources corresponding to each entity attribute; acquiring multiple triples to be identified; obtaining the source priority ranking of different sources corresponding to the entity attribute to be identified from the source priority ranking of the multiple sources corresponding to each entity attribute; determining the highest priority source of each attribute value of the entity attribute to be identified based on the source priority ranking of the different sources corresponding to the entity attribute to be identified, and determining the attribute value from the highest priority source as the target attribute value of the entity attribute to be identified. This application can accurately identify the attribute values ​​of the entity attributes to be identified.
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