Multi-source heterogeneous knowledge graph collaborative reasoning method and device based on entity alignment

A knowledge graph, multi-source heterogeneous technology, applied in the field of multi-source heterogeneous knowledge graph collaborative reasoning based on entity alignment, can solve the problem of low accuracy of knowledge reasoning, and achieve the effect of avoiding low accuracy of reasoning

Active Publication Date: 2021-05-18
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0004] The present invention provides a multi-source heterogeneous knowledge map collaborative reasoning method and device based on entity alignment to solve the defect of low knowledge reasoning accuracy in the prior art

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  • Multi-source heterogeneous knowledge graph collaborative reasoning method and device based on entity alignment
  • Multi-source heterogeneous knowledge graph collaborative reasoning method and device based on entity alignment
  • Multi-source heterogeneous knowledge graph collaborative reasoning method and device based on entity alignment

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[0038] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0039] The existing knowledge reasoning methods are mainly aimed at the knowledge reasoning of a single knowledge graph. In reality, there are often a large number of complementary knowledge graphs constructed by different institutions for a certain field. How to use the complementary knowledge of multiple knowledge graphs to improve the accuracy of knowledge reasoning has not yet been well r...

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Abstract

The invention provides a multi-source heterogeneous knowledge graph collaborative reasoning method and device based on entity alignment, and the method comprises the steps: determining an equivalent relation path of a query relation based on a to-be-reasoned entity pair and the query relation of the to-be-reasoned entity pair; and inputting the feature vectors corresponding to the equivalent relation paths into a relation reasoning model to obtain a reasoning result corresponding to the query relation. The positive sample triples used for training the relational reasoning model are obtained from the multiple knowledge maps, meanwhile, the equivalence relation paths comprise the equivalence relation paths crossing the knowledge maps, communication between different knowledge maps is achieved, and therefore the relational reasoning model can learn semantic information in the multiple knowledge maps, and the problem of relatively low reasoning precision caused by knowledge reasoning for a single knowledge graph in a traditional method is avoided.

Description

technical field [0001] The present invention relates to the technical field of knowledge reasoning, in particular to a collaborative reasoning method and device for multi-source heterogeneous knowledge graphs based on entity alignment. Background technique [0002] Knowledge reasoning is the task of predicting the existence or non-existence of a triple based on known information, which is an important basis for knowledge graph completion and knowledge-based decision-making. [0003] In recent years, with the development of big data and artificial intelligence technology and the demand for the development of explainable artificial intelligence, the knowledge reasoning problem of knowledge graph has been widely studied. At present, rule-based methods, representation-based learning methods and path-based methods for knowledge reasoning. However, the above methods are mainly aimed at knowledge reasoning of a single knowledge graph, and the accuracy of knowledge reasoning is low...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06K9/62G06N5/04
CPCG06F16/367G06N5/04G06F18/295
Inventor 王晓杨林瑶辛柯俊张俊王飞跃
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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