Entity alignment method and device in knowledge graph

A knowledge map and entity pairing technology, applied in the computer field, can solve problems such as poor alignment of a large number of labeled data entities, and achieve the effect of improving the effect

Inactive Publication Date: 2020-02-07
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] Embodiments of the present invention provide a method and device for entity alignment in knowledge graphs, so as to at least solve the problem in the related art that methods based on knowledge representation learning rely on a large amount of labeled data for poor entity alignment.

Method used

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  • Entity alignment method and device in knowledge graph
  • Entity alignment method and device in knowledge graph

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Embodiment 1

[0030] The method embodiment provided in Embodiment 1 of the present application may be executed in a terminal, a computer terminal, or a similar computing device. Take running on the terminal as an example, figure 1 It is a hardware structural block diagram of a terminal of an entity alignment method in a knowledge graph according to an embodiment of the present invention. Such as figure 1 As shown, the terminal 10 may include one or more ( figure 1 Only one is shown in the figure) processor 102 (processor 102 may include but not limited to processing devices such as microprocessor MCU or programmable logic device FPGA) and memory 104 for storing data. Optionally, the above-mentioned terminal can also be A transmission device 106 for communication functions and an input and output device 108 are included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and does not limit the structure of the above-mentioned te...

Embodiment 2

[0080] This embodiment also provides a device for aligning entities in a knowledge graph, which is used to implement the above embodiments and preferred implementation modes, and those that have already been described will not be repeated. As used below, the term "module" may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

[0081] image 3 is a structural block diagram of an entity alignment device in a knowledge map according to an embodiment of the present invention, such as image 3 As shown, the device includes: an acquisition module 32, which is used to acquire a plurality of entities from multiple platforms as an entity training set; a generation module 34, which is used to generate information for performing collaborative traini...

Embodiment 3

[0088] An embodiment of the present invention also provides a storage medium, in which a computer program is stored, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.

[0089] Optionally, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:

[0090] S1, obtain multiple entities from multiple platforms as entity training sets;

[0091] S2. Generate features for collaborative training according to available information related to each entity in the entity training set, where the features are used to indicate the similarity between the same type of available information among multiple entities;

[0092] S3. Train the model based on collaborative training according to the features, and judge whether the entity pair to be processed is synonymous according to the trained model.

[0093] Optionally, in this embodiment, the above-mentione...

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Abstract

The invention provides an entity alignment method and device in a knowledge graph, and the method comprises the steps: obtaining a plurality of entities from a plurality of platforms as an entity training set; according to the available information related to each entity in the entity training set, generating features used for cooperative training wherein the features are used for indicating the similarity between the same type of available information in the plurality of entities; training a model based on cooperative training according to the features, and judging whether the entity pairs tobe processed are synonymous or not according to the model obtained through training. Through the method and the device, the problem of poor alignment due to the fact that a knowledge representation learning-based method depends on a large number of annotation data entities in related technologies is solved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a method and device for entity alignment in a knowledge map. Background technique [0002] In the task of building a large-scale knowledge base, it is necessary to process a large amount of entity data from multi-source knowledge bases. At the beginning of building a knowledge base, it is first necessary to establish a knowledge description system, and then mount entity data to the system. Due to the different information sources of different knowledge bases, as well as the differences in manual definition and proofreading, semantically identical entities in different knowledge There will be different representations in the library. Entities with the same entry name may represent semantically the same thing, or two kinds of things. [0003] In the existing actual operation process, there are mainly two methods for entity fusion: [0004] 1) Traditional entity alignment [000...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/35G06F40/30G06F40/247
CPCG06F16/367G06F16/35
Inventor 姜旭李嘉琛
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD
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