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Semi-structured domain data-oriented knowledge graph automatic construction method

A semi-structured data and knowledge map technology, applied in the field of automatic construction of knowledge maps for semi-structured data, can solve problems such as waste of manpower, inability to migrate knowledge maps, and rigid extraction methods to improve the scope of application and efficiency , the effect of reducing costs

Pending Publication Date: 2021-08-10
SHANGHAI OCEAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method has high requirements for data, and the extraction method is relatively rigid. It cannot transfer knowledge graphs in other fields, so that when constructing knowledge graphs in other fields, it is necessary to propose a new method, which is a waste of manpower. Disadvantages of the knowledge graph construction method

Method used

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  • Semi-structured domain data-oriented knowledge graph automatic construction method
  • Semi-structured domain data-oriented knowledge graph automatic construction method
  • Semi-structured domain data-oriented knowledge graph automatic construction method

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Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0030] figure 1 A block diagram of a method for automatically constructing a semi-structured field data-oriented knowledge map provided by the embodiment of the present invention, as shown in figure 1 As shown, the method includes the following steps:

[0031] S1: Prepare semi-structured domain data for building domain knowledge graphs;

[0032] Specifically, the prepared semi-structured data exists in the form of a table, the columns in the table are called concept categories, and the data under each...

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Abstract

The invention provides a semi-structured domain data-oriented knowledge graph automatic construction method. The method comprises the following steps of S1, preparing semi-structured domain data for constructing a domain knowledge graph; S2, creating a rule base comprising names of the concepts in the knowledge graph, a relationship between the concepts and an instance data extraction regular expression; S3, automatically converting the semi-structured data into structured data in combination with the rule base, and completing automatic extraction of the data; S4, generating a concept-entity relationship set corresponding to the provided data and rules; S5, storing the concept-entity relation set into a database; and S6, constructing a knowledge graph and updating the knowledge graph according to the concept-entity relationship set. According to the method, the application range of the automatic construction method of the knowledge graph is expanded, and the cost required for constructing the knowledge graph is reduced.

Description

technical field [0001] The present invention relates to the technical field of automatic construction of knowledge graphs, in particular to a method for automatic construction of knowledge graphs oriented to semi-structured field data. Background technique [0002] Manually constructing a knowledge map is a time-consuming and expensive skillful task, and the process of construction is cumbersome and error-prone. Therefore, how to automatically construct a knowledge map is of great significance. According to the type of domain data that the automatic construction method is oriented to, there are automatic construction methods for structured domain data, semi-structured domain data, and unstructured domain data. At present, the automatic construction methods of knowledge graphs for data in semi-structured fields are all aimed at specific data in specific fields, and the automatic construction methods between various fields cannot be migrated well. Facing the semi-structured da...

Claims

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Application Information

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IPC IPC(8): G06F16/81G06F16/832G06F16/28G06F16/215G06F16/23G06F16/903
CPCG06F16/81G06F16/832G06F16/90344G06F16/215G06F16/23G06F16/288
Inventor 陈明朱珏樟
Owner SHANGHAI OCEAN UNIV
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