Knowledge graph reasoning method and device and storage medium
A technology of knowledge graph and reasoning method, applied in the fields of knowledge graph reasoning method, device and storage medium, can solve the problems of not yet providing a reasonable and effective knowledge graph reasoning method, poor accuracy, poor effect of knowledge graph completion, etc. To achieve good scalability, improve accuracy, and ensure the effect of the effect
Pending Publication Date: 2020-12-15
TSINGHUA UNIV
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Problems solved by technology
[0004] The accuracy of the reasoning results of the current knowledge map reasoning method is poor, and the effect of knowledge map completion is poor
A reasonable and effective knowledge graph reasoning method has not been provided in the related art
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[0067] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
[0068] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.
[0069] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific implementation manners. It will be understood by those skilled in the art that the present disclosure may be practiced without some of the specific details. In some instances, methods, means, componen...
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The invention relates to the field of data processing, in particular to a knowledge graph reasoning method and device and a storage medium. The method comprises the steps of obtaining to-be-completedinitial knowledge graph data, wherein the initial knowledge graph data comprises multiple initial data sets, and each initial data set only comprises a head entity and an entity relationship; according to the initial knowledge graph data, invoking a knowledge graph reasoning model to obtain complemented target knowledge graph data, wherein the knowledge graph reasoning model is a model obtained bypre-training based on reinforcement learning, and each target data set in the target knowledge graph data comprises a head entity, an entity relationship and a tail entity. According to the embodiment of the invention, knowledge reasoning is carried out on the initial knowledge graph by calling the knowledge graph reasoning model obtained on the basis of reinforcement learning training, and compared with a current knowledge graph reasoning method, the invention has good expansibility and high running speed, the accuracy of a reasoning result is improved, and the effect of complementing the knowledge graph is ensured.
Description
technical field [0001] The present disclosure relates to the field of data processing, and in particular to a knowledge graph reasoning method, device and storage medium. Background technique [0002] The data in the knowledge graph (English: knowledge graph) is generally obtained from public information on the Internet through knowledge extraction, and stored in the form of triples (head entity, entity relationship, tail entity). In the process of knowledge map construction, there are often a large number of triples that have yet to be completed. They cannot be directly extracted but can be obtained by certain reasoning methods. [0003] The knowledge graph reasoning method is a process in which any two elements in a given triple are obtained by a certain method to obtain another element that is missing. In related technologies, knowledge graph reasoning methods are often based on relatively simple logical rules or statistical features, or knowledge reasoning based on freq...
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Login to View More IPC IPC(8): G06F16/36G06N5/04G06N3/04G06N3/08G06K9/62G06F17/18
CPCG06F16/367G06N5/04G06N3/08G06F17/18G06N3/044G06N3/045G06F18/295
Inventor 谷源涛王浩铭
Owner TSINGHUA UNIV