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

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...

AI Technical Summary

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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