Knowledge graph completion method and device, computer equipment and storage medium

A knowledge map and completion technology, applied in the creation of semantic tools, unstructured text data retrieval, etc., can solve the problems of low efficiency of knowledge map completion, improve the efficiency and accuracy of completion, efficient search, The effect of quick completion

Pending Publication Date: 2022-07-22
华润数字科技有限公司
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Problems solved by technology

[0004] The purpose of the embodiment of the present application is to propose a knowledge map completion method, device, computer equipment and storage medium to solve the current technical problem of low efficiency of knowledge map completion

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  • Knowledge graph completion method and device, computer equipment and storage medium
  • Knowledge graph completion method and device, computer equipment and storage medium
  • Knowledge graph completion method and device, computer equipment and storage medium

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Embodiment Construction

[0050]Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of this application; the terms used herein in the specification of the application are for the purpose of describing specific embodiments only It is not intended to limit the application; the terms "comprising" and "having" and any variations thereof in the description and claims of this application and the above description of the drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.

[0051] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. Th...

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Abstract

The embodiment of the invention belongs to the field of artificial intelligence, and relates to a knowledge graph completion method, which comprises the following steps: acquiring a target document, and constructing a target knowledge graph of the target document through named entity recognition; initializing a plurality of search particles and initial speeds and starting nodes of the search particles, and determining path nodes of the search particles in the target knowledge graph according to the initial speeds and the starting nodes; calculating an individual extreme value and a current global value of the search particle at the path node, updating the path node based on the individual extreme value and the current global value until the updating frequency of the search particle reaches a preset maximum iteration threshold value, and determining that the search particle is updated; and obtaining a global optimal solution after the search particles are updated, and complementing the target knowledge graph based on the global optimal solution to obtain a complemented knowledge graph. The invention further provides a knowledge graph completion device, computer equipment and a storage medium. According to the invention, efficient completion of the target knowledge graph is realized.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular, to a knowledge graph completion method, device, computer equipment and storage medium. Background technique [0002] In recent years, knowledge graphs have been widely used in finance, e-commerce, medical care and other fields, but the cost of building knowledge graphs is very high, and it is prone to lack of relationships between nodes. For example, in Freebase, 66% of people have The relationship of birthplace is missing. Therefore, knowledge graph entity completion is often required for this type of knowledge graph. [0003] At present, the representative knowledge graph completion method is the PRA (Path Ranking Algorithm) algorithm. The main idea of ​​the algorithm is: starting from a certain node, adopting a random walk method, performing a depth-first search to obtain a candidate path, and using the path connecting the two entities as a featur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36
CPCG06F16/367
Inventor 王伟黄勇其张黔陈焕坤
Owner 华润数字科技有限公司
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