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Quality evaluation method for knowledge graph

A knowledge graph and quality assessment technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve the problems of underestimating the quality of knowledge graphs, and the quality assessment of knowledge graphs is not very accurate, and achieve the effect of improving quality

Pending Publication Date: 2022-01-04
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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Problems solved by technology

The above-mentioned analysis of quantitative and fixed scenarios often underestimates the quality of the knowledge map, and the quality assessment of the knowledge map is not very accurate

Method used

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  • Quality evaluation method for knowledge graph
  • Quality evaluation method for knowledge graph
  • Quality evaluation method for knowledge graph

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Embodiment Construction

[0063] The embodiments will be described in detail hereinafter, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following examples do not represent all implementations consistent with this application. These are merely examples of systems and methods consistent with aspects of the present application as recited in the claims.

[0064] see Figure 1 to Figure 3 .

[0065] A quality assessment method for a knowledge map provided in this application, including:

[0066] S01: Obtain the knowledge background quality of the knowledge map.

[0067] Among them, obtaining the knowledge background quality of the knowledge graph includes:

[0068] S011: Calculate entity similarity and entity attribute similarity.

[0069] Further, calculating entity attribute...

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Abstract

The invention relates to a quality evaluation method for a knowledge graph. The method comprises the following steps: acquiring knowledge background quality of the knowledge graph; acquiring knowledge content quality of the knowledge graph; acquiring knowledge application quality in the knowledge graph; and performing weighted summation on the knowledge background quality, the knowledge content quality and the knowledge application quality to obtain the quality of the knowledge graph in the specific problem field, wherein the calculation formula is Q(kg) = omega1Q(kbg) + omega2Q(kc) + omega3Q(ka). According to the quality assessment method for the knowledge graph, the quality of the knowledge graph is assessed from three aspects of knowledge background, knowledge content and knowledge application, and the knowledge content structure contained in the knowledge graph is divided into a concept layer, an entity layer and a relation layer in combination with the specific application of the knowledge graph for solving a specific problem by utilizing the knowledge graph; and the layers are evaluated from top to bottom, so that the knowledge of the knowledge graph is updated to form a knowledge evaluation closed-loop graph, and the quality of the knowledge graph is continuously improved.

Description

technical field [0001] The present application relates to the technical field of knowledge graphs, in particular to a method for evaluating the quality of knowledge graphs. Background technique [0002] The knowledge map is a large-scale semantic network composed of concepts, entities, and the relationships between them, which contains rich semantic information. It can also be regarded as a knowledge system composed of knowledge units and the interrelationships between units. The knowledge map is mainly composed of entity layer and concept layer. The entity layer is mainly composed of entities and entity attributes and the semantic relationship between entities, while the concept layer is mainly composed of concepts and the relationship between concepts. Knowledge map is an excellent knowledge The final application effect of the representation and storage form largely depends on the quality of the knowledge map. If the knowledge quality of the constructed knowledge map is to...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F16/36
CPCG06F16/367G06F18/217G06F18/22
Inventor 赵之晗陈晓云陆海张少泉张筱雨
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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