CN113836293B

CN113836293B - Knowledge graph-based data processing method, device, equipment and storage medium

Info

Publication number: CN113836293B
Application number: CN202111118139.2A
Authority: CN
Inventors: 马旋
Original assignee: Ping An International Smart City Technology Co Ltd
Current assignee: Ping An International Smart City Technology Co Ltd
Priority date: 2021-09-23
Filing date: 2021-09-23
Publication date: 2024-04-16
Anticipated expiration: 2041-09-23
Also published as: CN113836293A

Abstract

The embodiment of the application discloses a data processing method, a device, equipment and a storage medium based on a knowledge graph, which relate to an artificial intelligence technology, wherein the method comprises the following steps: acquiring output data quantity, supply data quantity and demand data quantity of N industries; determining a supply ratio of the first industry to the second industry based on the supply data amount between the first industry and the second industry in each two industries and the output data amount of the first industry until the supply ratio between the N industries is determined; determining a demand ratio between the first industry and the second industry based on the demand data amount of the first industry and the second industry and the output data amount of the first industry until the demand ratio between the N industries is determined; constructing a knowledge graph based on the supply ratio among N industries and the demand ratio among N industries; and generating and outputting a visual interface diagram based on the knowledge graph. By adopting the embodiment of the application, the association relation among industries can be determined, and the data processing efficiency is improved.

Description

Knowledge graph-based data processing method, device, equipment and storage medium

Technical Field

The present disclosure relates to the field of big data processing technologies in the field of artificial intelligence, and in particular, to a data processing method, device, equipment and storage medium based on a knowledge graph.

Background

The inter-industry relationship is divided into a supporting relationship and a driving relationship. The supporting relationship is mainly represented by the industry departments that provide guarantee and support for the main industry chain, such as the production element departments, including land, facilities, equipment, raw materials, energy, funds, technology, talents, information, intermediary services and the like. Without these support industries, the production process of the host product or service is difficult to proceed. Therefore, the industry departments of a certain type of products or services cannot exist in isolation, and a life-to-death dependent relation is necessarily established with the industry departments of support. When the market environment changes, all links of the industry chain change. The driving relation is mainly reflected in the related relation between the main industry and the driven industry because the development of other product or service industries is driven and influenced by the existence and development of the product or service industry of a certain class.

Therefore, how to determine the association relationship between industries, when an abnormality occurs in an industry, it is a urgent problem to quickly adjust the related industry to restore the development of the industry, and further improve the data processing efficiency. In the prior art, adjustment is generally performed aiming at a certain abnormal industry, so that the industry recovery effect is poor, and the data processing efficiency is low.

Disclosure of Invention

The embodiment of the application provides a data processing method, device, equipment and storage medium based on a knowledge graph, which can determine the association relationship among industries and further improve the data processing efficiency.

In a first aspect, the present application provides a data processing method based on a knowledge graph, including:

acquiring output data of each industry in N industries, supply data of each two industries in the N industries and demand data of each two industries in the N industries;

determining a supply ratio between a first industry and a second industry based on the supply data amount between the first industry and the second industry in each two industries and the output data amount of the first industry until determining the supply ratio between each two industries in the N industries;

determining a demand ratio between the first industry and the second industry based on the amount of demand data between the first industry and the second industry and the amount of output data of the first industry until a demand ratio between each two industries of the N industries is determined;

constructing a knowledge graph based on the supply ratio between every two industries in the N industries and the demand ratio between every two industries in the N industries;

And generating a visual interface diagram based on the knowledge graph, and outputting the visual interface diagram.

In a second aspect, the present application provides a knowledge-graph-based data processing apparatus, including:

the data acquisition module is used for acquiring the output data volume of each industry in N industries, the supply data volume between every two industries in the N industries and the demand data volume between every two industries in the N industries;

a supply determining module, configured to determine a supply ratio between a first industry and a second industry based on an amount of supply data between the first industry and the second industry in the two industries and an amount of output data of the first industry, until a supply ratio between each two industries in the N industries is determined;

the demand determining module is used for determining a demand ratio between the first industry and the second industry based on the demand data volume between the first industry and the second industry and the output data volume of the first industry until the demand ratio between every two industries in the N industries is determined;

the map construction module is used for constructing a knowledge map based on the supply ratio between every two industries in the N industries and the demand ratio between every two industries in the N industries;

And the interface display module is used for generating a visual interface diagram based on the knowledge graph and outputting the visual interface diagram.

With reference to the second aspect, in one possible implementation manner, the knowledge graph includes a first knowledge graph and a second knowledge graph, where the first knowledge graph is used to reflect a supply relationship between industries, and the second knowledge graph is used to reflect a demand relationship between industries; the map construction module is specifically used for:

constructing the first knowledge graph based on the supply ratio between every two industries in the N industries;

constructing the second knowledge graph based on the ratio of the requirements between every two industries in the N industries;

the knowledge-graph-based data processing device further comprises:

the first display module is used for displaying the map data in the first knowledge map through a first interface map in the visual interface;

and the second display module is used for displaying the map data in the second knowledge map through a second interface map in the visual interface.

With reference to the second aspect, in one possible implementation manner, the interface display module is specifically configured to:

invoking a visual operation interface generating component;

acquiring attribute information of an image display interface, and generating a visual interface diagram according to the attribute information of the image display interface and map data corresponding to the knowledge map, wherein the attribute information of the image display interface comprises at least one of screen size, image display dimension or image display type of the image display interface.

With reference to the second aspect, in one possible implementation manner, the knowledge-graph-based data processing apparatus further includes: an interface updating module, configured to:

acquiring an update instruction aiming at the visual interface diagram;

determining the node area and the node color of the display node corresponding to each industry based on the corresponding relation between the output data quantity and the preset data quantity range of each industry in the N industries;

and updating the display nodes corresponding to each industry in the visual interface diagram according to the node areas and the node colors of the display nodes corresponding to each industry.

With reference to the second aspect, in one possible implementation manner, the knowledge-graph-based data processing apparatus further includes: a data viewing module for:

acquiring a viewing instruction aiming at a target industry;

outputting target relation data associated with the target industry in the visual interface diagram based on the viewing instruction; wherein the target relationship data includes at least one of a yield data amount of the target industry, a supply ratio and/or a demand ratio between the target industry and an associated industry of the target industry.

With reference to the second aspect, in one possible implementation manner, the knowledge-graph-based data processing apparatus further includes: the data screening module is used for:

Acquiring a screening instruction aiming at the visual interface diagram;

and screening industries with target relation data larger than a target threshold value among the N industries based on the screening instruction, and displaying industries with target relation data larger than the target threshold value in the visual interface diagram.

In a third aspect, the present application provides a computer device comprising: a processor, a memory, a network interface;

the processor is connected with the memory and the network interface, wherein the network interface is used for providing a data communication function, the memory is used for storing a computer program, and the processor is used for calling the computer program so that the computer device containing the processor executes the data processing method based on the knowledge graph.

In a fourth aspect, the present application provides a computer readable storage medium having stored therein a computer program adapted to be loaded and executed by a processor to cause a computer device having the processor to perform the above-described knowledge-graph based data processing method.

In a fifth aspect, the present application provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the data processing method based on the knowledge-graph provided in various optional manners in the first aspect of the application.

In the embodiment of the application, the output data volume of each industry in N industries, the supply data volume between every two industries in N industries and the demand data volume between every two industries in N industries are acquired; determining a supply ratio between the first industry and the second industry based on the supply data amount between the first industry and the second industry and the output data amount of the first industry until the supply ratio between each two industries in the N industries is determined; determining a demand ratio between the first industry and the second industry based on the demand data amount between the first industry and the second industry and the output data amount of the first industry until the demand ratio between each two industries in the N industries is determined; constructing a knowledge graph based on the supply ratio between every two industries in the N industries and the demand ratio between every two industries in the N industries; and generating a visual interface diagram based on the knowledge graph, and outputting the visual interface diagram. By generating the knowledge graph and generating the visual interface graph based on the knowledge graph, and outputting the visual interface graph, the association relationship among various industries, such as the supply relationship and the demand relationship among the industries, can be intuitively checked, and the related industry of a certain industry can be further and rapidly determined. When a certain industry is abnormally changed, the related industry and the influence condition of the industry abnormality on the related industry can be determined, the related industry is quickly adjusted, for example, the output data quantity of the related industry is increased or reduced, the resource waste is avoided, the development of the industry is restored, and the data processing efficiency is further improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic flow chart of a data acquisition method based on a knowledge graph according to an embodiment of the present application;

FIG. 2 is a schematic flow chart of another data processing method based on a knowledge graph according to an embodiment of the present application;

FIG. 3 is a visual interface diagram provided by an embodiment of the present application;

FIG. 4 is an updated visual interface diagram provided by an embodiment of the present application;

FIG. 5 is a diagram of a filtered visual interface provided in an embodiment of the present application;

FIG. 6 is a visual interface diagram for a target industry provided by an embodiment of the present application;

FIG. 7 is another visual interface diagram for a target industry provided by an embodiment of the present application;

fig. 8 is a schematic diagram of a composition structure of a data processing device based on a knowledge graph according to an embodiment of the present application;

Fig. 9 is a schematic diagram of a composition structure of a computer device according to an embodiment of the present application.

Detailed Description

The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.

Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.

The application relates to a big data processing technology in artificial intelligence, which can be used for acquiring the output data volume of each industry in N industries, the supply data volume between every two industries in N industries and the demand data volume between every two industries in N industries; based on the supply data amount between the first industry and the second industry and the output data amount of the first industry, a supply ratio between the first industry and the second industry is determined until a supply ratio between each two industries of the N industries is determined. Further, a demand ratio between the first industry and the second industry may be determined using a big data processing technique based on the amount of demand data between the first industry and the second industry and the amount of production data for the first industry until a demand ratio between each two industries of the N industries is determined. Further, a knowledge graph can be constructed based on the supply ratio between each two industries of the N industries and the demand ratio between each two industries of the N industries; and generating a visual interface diagram based on the knowledge graph, and outputting the visual interface diagram. Through showing the association relationship between industries, such as supply relationship or demand relationship, in the visual interface diagram, the change condition between industries can be more intuitively determined, so that targeted adjustment is rapidly performed, and the data processing efficiency is improved.

The technical scheme can be applied to a scene of determining the supply ratio and the demand ratio among the industries according to the output data quantity, the supply data quantity and the demand data quantity among N industries, so that the association relation among the industries is established, and the association relation among the industries is displayed in a visual interface diagram mode. Specifically, according to the output data quantity of N industries and the supply data quantity and the demand data quantity between every two industries in the N industries, the supply ratio and the demand ratio between every two industries in the N industries are determined, so that the supply relation and the demand relation between the industries are obtained, a knowledge graph between the N industries is constructed based on the supply relation and the demand relation between the industries, and a visual interface graph is generated and output based on the knowledge graph. Through outputting the visual interface diagram, the association relation between industries can be visually checked, and the data change condition between industries can be checked. When the supply ratio or the demand ratio between one industry and other industries is determined to be obviously lower than or higher than a set threshold, early warning can be carried out, so that relevant management staff is prompted to carry out targeted adjustment on the industries related to the industries, for example, the output data quantity of the relevant industries is increased or reduced, resource waste is avoided, development of the industries is restored, and further data processing efficiency is improved. Or, the technical scheme can also be used for analyzing the supply ratio and the demand ratio between industries according to the historical data quantity of N industries in the last period (such as the output data quantity of the last period, the data of the supply data quantity, the demand data quantity and the like between every two industries in the last period), and predicting which industries possibly have larger changes in the next period, so that the relevant industry output data quantity is subjected to targeted adjustment, resource waste is avoided, and data processing efficiency is improved. Optionally, for example, when an abnormal change occurs to a certain industry, the technical scheme can simulate the influence of the industry on the related industry, such as the impact of industries such as accommodation, catering, entertainment, sanitation and medical treatment, and the like, can quickly know the influence of the abnormal change to other industries, and can adjust the abnormal change to the related industry to restore the development of the industry.

Referring to fig. 1, fig. 1 is a flow chart of a knowledge-based data acquisition method provided in an embodiment of the present application, where the knowledge-based data processing method may be applied to a computer device, and the computer device may be an electronic device, including but not limited to a mobile phone, a tablet computer, a desktop computer, a notebook computer, a palmtop computer, a vehicle-mounted device, an augmented Reality/Virtual Reality (AR/VR) device, a helmet display, a wearable device, a smart speaker, a digital camera, a camera, and other mobile internet devices (mobile internet device, MID) with network access capability, etc.; it may also refer to a stand-alone server, or a server cluster composed of several servers, or a cloud computing center. As shown in fig. 1, the knowledge-graph-based data processing method includes, but is not limited to, the following steps:

s101, obtaining output data of each industry in N industries, supply data of each two industries in N industries and demand data of each two industries in N industries.

In the embodiment of the application, the computer device may obtain the output data amount of each industry in the N industries, the supply data amount between each two industries in the N industries, and the demand data amount between each two industries in the N industries. Wherein N is a positive integer. The volume of production data for an industry may refer to the total value of all products produced by that industry, the volume of supply data between two industries may refer to the value of products provided by one of the industries to the other industry, and the volume of demand data between two industries may refer to the value of products provided by one of the industries to the other industry. It is understood that the amount of supply data and the amount of demand data between the two industries may not be equal. The N industries may include a number of industries such as agriculture, forestry, pasture, fishery, mining, manufacturing, electricity, heat, gas and water production and supply, construction, wholesale and retail, transportation, storage and postal, accommodation and catering, information transmission, software and information technology services, finance, and housing and land industries.

In a specific implementation, the computer device can obtain the output data quantity of N industries in each period, and the supply data quantity and the demand data quantity between every two industries in the N industries from the global industry monitoring data, tax data, electric power data, telecommunication big data and other data. A cycle may refer to, for example, a month, half year, or year, etc. For example, the computer device obtains 10 trillion output data of wholesale and retail industries in a certain month, 5 trillion output data of building industries, and 2 trillion supply quantity between wholesale and retail industries and building industries, namely, the value of products provided to the building industries by the wholesale and retail industries is 2 trillion.

S102, determining a supply ratio between the first industry and the second industry based on the supply data amount between the first industry and the second industry in every two industries and the output data amount of the first industry until determining the supply ratio between every two industries in the N industries.

In the embodiment of the application, the computer device can analyze each two industries in the N industries respectively to determine the supply ratio between each two industries in the N industries. The N industries are described as including a first industry and a second industry, where the first industry and the second industry are any two different industries of the N industries. The computer device may determine a supply ratio between the first industry and the second industry based on the supply data amount between the first industry and the second industry and the output data amount of the first industry. Since the first industry and the second industry are any two different industries in the N industries, the supply ratio between any two other industries in the N industries can be calculated by referring to a supply ratio calculation manner between the first industry and the second industry, which is not described in the embodiments of the present application. Because the computer device in step S101 obtains the output data amount of each industry in the N industries and the supply data amount between each two industries in the N industries, the supply ratio between each two industries in the N industries may be calculated based on the output data amount of each industry in the N industries and the supply data amount between each two industries in the N industries.

For example, taking N industries including a first industry and a second industry as an example, for example, the first industry may refer to wholesale and retail industries, the second industry may refer to building industries, and then a supply ratio between the first industry and the second industry may refer to a ratio of an amount of supply data supplied to the building industries by the wholesale and retail industries to an amount of output data of the wholesale and retail industries, for example, an amount of supply data supplied to the building industries by the wholesale and retail industries is obtained as m1, an amount of output data of the wholesale and retail industries is obtained as m2, and then a supply ratio between the first industry and the second industry is m1/m2.

S103, determining a demand ratio between the first industry and the second industry based on the demand data volume between the first industry and the second industry and the output data volume of the first industry until the demand ratio between each two industries in the N industries is determined.

In the embodiment of the application, the computer equipment can analyze each two industries in N industries respectively to determine the requirement ratio between each two industries in N industries. The N industries are described as including a first industry and a second industry, where the first industry and the second industry are any two different industries of the N industries. The computer device may determine a demand ratio between the first industry and the second industry based on the amount of demand data between the first industry and the second industry and the amount of output data of the first industry. Because the first industry and the second industry are any two different industries in the N industries, the demand ratio between any two other industries in the N industries can be calculated by referring to a demand ratio calculation mode between the first industry and the second industry, and excessive description is not made in the embodiment of the application. Because the computer device in step S101 obtains the output data amount of each industry in the N industries and the demand data amount between each two industries in the N industries, the demand ratio between each two industries in the N industries may be calculated based on the output data amount of each industry in the N industries and the demand data amount between each two industries in the N industries.

For example, taking N industries including a first industry and a second industry as an example, for example, the first industry may refer to wholesale and retail industries, the second industry may refer to building industries, then a demand ratio between the first industry and the second industry may refer to a ratio of a required data amount of the building industries required by wholesale and retail industries to a yield data amount of the wholesale and retail industries, for example, a required data amount of the building industries required by wholesale and retail industries is m3, a yield data amount of the wholesale and retail industries is m2, and then a demand ratio between the first industry and the second industry is m3/m2.

S104, constructing a knowledge graph based on the supply ratio between every two industries in the N industries and the demand ratio between every two industries in the N industries.

In the embodiment of the application, since the computer equipment calculates the supply ratio between every two industries in the N industries and the demand ratio between every two industries in the N industries, the knowledge graph can be constructed and stored based on the supply ratio between every two industries in the N industries and the demand ratio between every two industries in the N industries, so that the subsequent related terminal can directly acquire the data in the knowledge graph, such as the supply ratio or the demand ratio between any two industries, and perform related data analysis.

In a specific implementation, the computer device can import the supply ratio between every two industries in the N industries and the demand ratio between every two industries in the N industries into the Neo4j graph database system, so that a knowledge graph is constructed.

Optionally, the knowledge patterns include a first knowledge pattern for reflecting a supply relationship between industries and a second knowledge pattern for reflecting a demand relationship between industries. Specifically, the computer device may construct a first knowledge graph based on the supply ratio between each two industries of the N industries; and constructing a second knowledge graph based on the ratio of requirements between every two industries in the N industries.

In a specific implementation, the computer device may import the supply ratio between each two industries in the N industries into the Neo4j graph database system, thereby constructing a first knowledge graph, and import the demand ratio between each two industries in the N industries into the Neo4j graph database system, thereby constructing a second knowledge graph.

Optionally, after the first knowledge-graph is constructed, the computer device may also display graph data in the first knowledge-graph through a first interface graph in the visual interface. Wherein the profile data in the first knowledge profile may include a supply ratio between each two industries. Further, after the second knowledge graph is constructed, the computer device can also display graph data in the second knowledge graph through a second interface graph in the visual interface. Wherein the profile data in the second knowledge-graph may include a demand ratio between each two industries. And the map data corresponding to the knowledge maps are displayed in the visual interface, so that the knowledge maps can be conveniently checked.

Optionally, the computer device may further obtain a data relationship table between the N industries based on a supply ratio between each two industries of the N industries and a demand ratio between each two industries of the N industries, and construct a knowledge graph based on the data relationship table. The data relationship table is used for indicating the supply ratio and the demand ratio between every two industries in the N industries, as shown in table 1:

TABLE 1

First industry	Feed ratio	Demand ratio	Second industry
				Wholesale and retail industries	m1/m2	m3/m2	Construction industry
Wholesale and retail industries	m4/m2	m5/m2	Construction industry
				Construction industry	m7/m6	m8/m6	Wholesale and retail industries
Construction industry	m9/m6	m10/m6	House field industry

Optionally, the first industry in table 1 may further include any one of N industries, and the second industry in table 1 may also include any one of N industries. Because the data relation table is generated according to the supply ratio and the demand ratio between every two industries in the N industries, the supply ratio and the demand ratio between the industries can be clearly checked, the data relation table can be stored in a database, so that the data in the data relation table can be conveniently traversed later, and the related data can be used for carrying out subsequent data processing.

S105, generating a visual interface diagram based on the knowledge graph, and outputting the visual interface diagram.

In the embodiment of the application, the computer equipment can generate the visual interface diagram based on the knowledge graph and output the visual interface diagram.

Optionally, the computer device may invoke the visual operation interface generation component; and acquiring attribute information of the image display interface, and generating a visual interface diagram according to the attribute information of the image display interface and map data corresponding to the knowledge map. Wherein the attribute information of the image presentation interface includes at least one of a screen size, an image display dimension, or an image display type of the image presentation interface. The screen size of the image presentation interface may include, but is not limited to, the resolution of the screen or the size of the long and wide composition of the screen; the image display dimension may include, but is not limited to, a two-dimensional display or a three-dimensional display; the image display type may include displaying a plurality of knowledge maps in the same one (including, for example, a knowledge map for reflecting a supply relationship between industries and a knowledge map for reflecting a demand relationship between industries), or displaying one knowledge map in one interface, or the like.

The image display interface may be a visual interface, and the graph displayed in the image display interface may refer to a visual interface graph. The visual operation interface generation component is used for generating a visual interface diagram according to the diagram data in the knowledge diagrams, such as the supply ratio or the demand ratio between industries, and the knowledge diagrams are abstract concepts, so that the knowledge diagrams need to be displayed in a display interface mode, a user can view the diagram data in the knowledge diagrams, such as the supply ratio or the demand ratio between industries, and the knowledge diagrams can be converted into the visual interface diagram for the user to view and operate later through the visual operation interface generation component.

In a specific implementation, the computer device may generate the visual operation interface generating component based on the attribute information of the image display interface, for example, the visual operation interface generating component may be packaged based on different attribute information, so as to obtain the visual operation interface generating component corresponding to each attribute information. For example, when generating the visual operation interface generating component, the visual operation interface generating component may be packaged based on the first screen size, and when the component is used subsequently, the visual operation interface map corresponding to the first screen size may be generated by calling the visual operation interface generating component corresponding to the first screen size. That is, since the computer device encapsulates the visual operation interface generating component based on different attribute information to obtain the visual operation interface generating component corresponding to each attribute information, when the visual interface map is generated subsequently, the computer device can determine the visual operation interface generating component to be called based on the acquired attribute information of the image display interface, so as to generate the visual interface map corresponding to the knowledge map based on the visual operation interface generating component.

Alternatively, since the knowledge graph may include a first knowledge graph and a second knowledge graph, when the visual interface graph is generated according to the knowledge graph, the computer device may generate the first interface graph according to the first knowledge graph, generate the second interface graph according to the second knowledge graph, and output the first interface graph and the second interface graph. The visual interface diagram may include a first interface diagram and a second interface diagram, the first interface diagram is used for displaying map data in a first knowledge map by means of a visual interface, the second interface diagram is used for displaying map data in a second knowledge map by means of a visual interface, the map data in the first knowledge map includes a supply ratio between every two industries, and the map data in the second knowledge map includes a demand ratio between every two industries.

In the embodiment of the application, the output data volume of each industry in N industries, the supply data volume between every two industries in N industries and the demand data volume between every two industries in N industries are acquired; determining a supply ratio between the first industry and the second industry based on the supply data amount between the first industry and the second industry and the output data amount of the first industry until the supply ratio between each two industries in the N industries is determined; determining a demand ratio between the first industry and the second industry based on the demand data amount between the first industry and the second industry and the output data amount of the first industry until the demand ratio between each two industries in the N industries is determined; constructing a knowledge graph based on the supply ratio between every two industries in the N industries and the demand ratio between every two industries in the N industries; and generating a visual interface diagram based on the knowledge graph, and outputting the visual interface diagram. Through generating the knowledge graph and generating the visual interface graph based on the knowledge graph, the association relationship among various industries, such as the supply relationship and the demand relationship among the industries, can be intuitively checked through outputting the visual interface graph, and then the related industry of a certain industry can be rapidly determined. When a certain industry is abnormally changed, the related industry and the influence condition of the industry abnormality on the related industry can be determined, the related industry is quickly adjusted, for example, the output data quantity of the related industry is increased or reduced, the resource waste is avoided, the development of the industry is restored, and the data processing efficiency is further improved.

Further, after the visual interface diagram is generated, the computer equipment can acquire the operation of related personnel on the visual interface diagram, so that the association relation among the industries is displayed in a targeted manner, the data acquisition efficiency is improved, and the user experience is further improved. Referring to fig. 2, fig. 2 is a flow chart of another data processing method based on a knowledge graph according to an embodiment of the present application. The data processing method based on the knowledge graph can be applied to computer equipment; as shown in fig. 2, the knowledge-graph-based data processing method includes, but is not limited to, the following steps:

s201, acquiring an update instruction for the visual interface diagram.

In this embodiment of the present application, when the computer device outputs the visual interface map, the first interface map for reflecting the supply ratio between industries or the second interface map for reflecting the demand ratio between industries may be output by default, or the first interface map and the second interface map may be output at different positions of the display interface at the same time.

Optionally, when the computer device outputs the initial visual interface diagram, the display node corresponding to each industry in the N industries and the industry identifier may be output by default, where the industry identifier may include information for uniquely indicating the industry, such as an industry name, an industry number, and the like, and the display node corresponding to each industry is the same. As shown in fig. 3, fig. 3 is a visual interface diagram provided by the embodiment of the present application, where each display node represents an industry, the gray dots in fig. 3 represent display nodes, the data flow between display nodes represents the data flow between industries, and the supply ratio between each two industries of the N industries is not shown in fig. 3, and is exemplified only by the supply ratio x1 between wholesale and retail industries and the building industry, and the supply ratio x2 between the building industry and the financial industry. It will be appreciated that only the data flow between industries and the supply ratio between industries can be viewed by the display in fig. 3, and that when the number of industries is large, it is inconvenient to view, and it is also difficult to view the data amount produced per industry according to such display. Therefore, the computer equipment can acquire the updating instruction aiming at the visual interface diagram, and update the visual interface diagram based on the updating instruction, so that the updated visual interface diagram can more intuitively and clearly view the output data size of each industry.

S202, determining the node area and the node color of the display node corresponding to each industry based on the corresponding relation between the output data quantity and the preset data quantity range of each industry in N industries.

In the embodiment of the application, the corresponding relation between the preset data volume range and the node area and the node color of the display node can be preset by the computer equipment, so that the node area and the node color of the display node corresponding to each industry are determined based on the corresponding relation between the output data volume of each industry and the preset data volume range, the display node corresponding to each industry is displayed in a targeted mode, and the display node corresponding to each industry is convenient to view.

Optionally, the corresponding relationship among the preset data size range, the node area of the display node, and the node color may be as shown in table 2:

TABLE 2

Presetting a data volume range	Node area	Node color
			(0，L1]	S1	Color 1
(L1，L2]	S2	Color 2
			(L2，1]	S3	Color 3

In Table 2, L1 is greater than 0, L2 is greater than L1, L2 is less than 1, S3 is greater than S2, and S2 is greater than S1. Color 1, color 2, and color 3 are each different colors of 3. Optionally, table 2 may further include more preset data size ranges, node areas, and node color types, where the color types may include the brightness degree of the color, such as dark red and light red; the type of color is not limited in the embodiments of the present application, such as red, yellow, white, and the like.

In specific implementation, the computer device can determine the node area and the node color of the display node corresponding to each industry from the corresponding relation by determining the preset data volume range to which the output data volume of each industry belongs in the N industries.

And S203, updating the display nodes corresponding to each industry in the visual interface diagram according to the node areas and the node colors of the display nodes corresponding to each industry.

Referring to fig. 4, fig. 4 is an updated visual interface diagram provided in the embodiment of the present application, where the preset data size ranges to which the output data size of each industry belongs are different, and the node areas and the node colors of the corresponding display nodes are different. The size of the output scale of each industry, namely the size of the output data volume, can be determined according to the area of the display node. It can be seen that the volume of output data from the lodging and catering industry is greater than that of the education industry.

S204, acquiring a screening instruction aiming at the visual interface diagram.

In the embodiment of the present application, because some industries of the N industries have low target relationship data, the visual interface diagram is too complex and inconvenient to view by displaying the N industries and the target relationship data between the industries. Therefore, the computer equipment can acquire the screening instruction aiming at the visual interface diagram, so that the target relation data among N industries is screened and then displayed, and the obtained visual interface diagram is clearer and more visual.

S205, industries with target relation data larger than a target threshold value among N industries are screened based on the screening instruction, and the industries with the target relation data larger than the target threshold value are displayed in the visual interface diagram.

Wherein the target relationship data includes at least one of a yield data amount of the target industry, a supply ratio and/or a demand ratio between the target industry and an associated industry of the target industry. If the visual interface map is the first interface map, the target relationship data may include a yield data amount of the target industry, or a supply ratio between the target industry and an associated industry of the target industry. If the visual interface diagram is the second interface diagram, the target relationship data may include a yield data amount of the target industry or a demand ratio between the target industry and an associated industry of the target industry.

In one possible implementation, the target relationship data is a yield data amount of the target industry, and the computer device may screen the industry to be displayed based on the yield data amount of the industry. Specifically, the computer device may screen industries among the N industries for which the yield data amount is greater than the target threshold, and display industries for which the yield data amount is greater than the target threshold in the visual interface diagram.

In another possible implementation, the target relationship data is a supply ratio and/or a demand ratio between the target industry and an associated industry of the target industry, and the computer device may screen the industries to be displayed based on the supply ratio and/or the demand ratio between the industries. Specifically, the computer device may screen industries of the N industries for which the supply ratio and/or the demand ratio between two industries is greater than the target threshold, and display industries of the supply ratio and/or the demand ratio that are greater than the target threshold in the visual interface diagram.

Optionally, referring to fig. 5, fig. 5 is a filtered visual interface diagram provided in an embodiment of the present application, where target relationship data of industries corresponding to display nodes with darker colors is greater than a target threshold. For example, the homeowner industry, wholesale and retail industries have target relationship data greater than a target threshold. And the target relation data of industries corresponding to the display nodes with lighter colors is smaller than or equal to the target threshold value. Such as water production and supply, construction, etc.

Optionally, the computer device may further obtain a view instruction for the target industry, and output target relationship data associated with the target industry in the visual interface diagram based on the view instruction.

In the embodiment of the present application, since the screen size of the display interface is limited, and because some industries are not easy to view due to excessive industries, a user may operate for an industry to be viewed, when the computer device detects a viewing instruction of the user for a target industry, the target industry may be displayed in a targeted manner, for example, the relationship data between the target industry and the industries associated with the target industry may be highlighted, and the relationship data between other industries may not be displayed or weakened. Wherein the target relationship data associated with the target industry includes at least one of a yield data amount of the target industry, a supply ratio and/or a demand ratio between the target industry and an associated industry of the target industry. Alternatively, the target relationship data may be used to indicate an upstream-downstream relationship and a data flow relationship between the target industry and the associated industry. The upstream-downstream relationship may be used to reflect the proportion of the upstream industry that is used and the proportion of the downstream industry that is released. The data flow relationship is used to reflect the flow of data between industries, such as from a first industry to a second industry.

As shown in fig. 6, fig. 6 is a visual interface diagram for a target industry provided in an embodiment of the present application, where the target industry may refer to a real estate industry, and when a computer device obtains a viewing instruction for the real estate industry, target relationship data associated with the real estate industry is output in the visual interface diagram. Related industries of the real estate industry include, among others, other manufacturing, gas production and supply, construction, public management social security and organization, wholesale and retail, lodging and catering, information transfer software and information technology service, finance, rental and business service, residential service repair and other service, and education, etc. Wherein the feed ratio between other manufacturing industries and the property industry is 3.42%, the feed ratio between gas production and supply and the property industry is 4.19%, the feed ratio between the building industry and the property industry is 6.64%, etc. It can be seen that the upstream industries of the real estate industry include other manufacturing, gas production and supply, construction, public management social security and social organisations, and so on; downstream industries of the real estate industry include wholesale and retail, lodging and catering, information transfer software and information technology service, financial, rental and business service, residential service repair and other service and education, and the like. The data flow relationship is from other industries such as manufacturing, gas production and supply, construction industry, public management social security and social organization into real estate industry, from real estate industry into wholesale and retail industry, accommodation and catering industry, information transmission software and information technology service industry, financial industry, leasing and business service industry, resident service repair and other service industry, education industry, etc. Optionally, the output data of the real estate industry can be output in the visual interface diagram.

Further, the computer device may further obtain a marking instruction of any industry in the visual interface diagram for the target industry, as shown in fig. 7, where fig. 7 is another visual interface diagram for the target industry, specifically for the water production and supply industry provided in the embodiment of the present application. Among other things, the upstream industries associated with the water production and supply industries include water conservation environment and utility management, the downstream industries include agricultural and sideline product processing, nonmetallic mineral products, the production and supply of electric power and heating power, the construction, wholesale and retail industries, and the housing and catering industries. When the computer device obtains the marking instruction of the agricultural byproduct processing industry in the visual interface diagram aiming at the target industry, the marking industry can be highlighted, for example, the marking industry is highlighted in a solid line mode, and other industries are weakened and displayed, for example, the other industries are weakened and displayed in a dotted line mode.

In the embodiment of the application, after the visual interface diagram is generated, as the visual interface diagram can be operated according to the requirements of related personnel, the association relation among the individual display industries according to the requirements is realized, the visual interface diagram can be clearer and more visual, the data acquisition efficiency is improved, and the user experience is further improved.

Having described the methods of embodiments of the present application, the apparatus of embodiments of the present application are described below.

Referring to fig. 8, fig. 8 is a schematic structural diagram of a knowledge-graph-based data processing apparatus according to an embodiment of the present application, where the knowledge-graph-based data processing apparatus may be a computer program (including program code) running in a computer device, and for example, the knowledge-graph-based data processing apparatus is an application software; the knowledge-graph-based data processing device can be used for executing corresponding steps in the knowledge-graph-based data processing method provided by the embodiment of the application. The knowledge-graph-based data processing apparatus 80 includes:

a data obtaining module 81, configured to obtain a yield data amount of each of the N industries, a supply data amount between each of the N industries, and a demand data amount between each of the N industries;

a supply determination module 82, configured to determine a supply ratio between the first industry and the second industry based on the supply data amount between the first industry and the second industry in each of the two industries and the output data amount of the first industry, until determining a supply ratio between each of the N industries;

A demand determining module 83, configured to determine a demand ratio between the first industry and the second industry based on the required data amount between the first industry and the second industry and the output data amount of the first industry, until a demand ratio between each two industries in the N industries is determined;

a graph construction module 84 for constructing a knowledge graph based on the supply ratio between each two industries of the N industries and the demand ratio between each two industries of the N industries;

and the interface display module 85 is used for generating a visual interface diagram based on the knowledge graph and outputting the visual interface diagram.

Optionally, the knowledge graph includes a first knowledge graph and a second knowledge graph, the first knowledge graph is used for reflecting supply relations among industries, and the second knowledge graph is used for reflecting demand relations among industries; the map construction module 84 is specifically configured to:

the knowledge-graph-based data processing apparatus 80 further includes:

A first display module 86, configured to display the map data in the first knowledge map through a first interface map in the visual interface;

and a second display module 87, configured to display the map data in the second knowledge map through a second interface map in the visual interface.

Optionally, the interface display module 85 is specifically configured to:

invoking a visual operation interface generating component;

Optionally, the knowledge-graph-based data processing apparatus 80 further includes: an interface update module 88 for:

acquiring an update instruction aiming at the visual interface diagram;

Optionally, the knowledge-graph-based data processing apparatus 80 further includes: a data viewing module 89 for:

acquiring a viewing instruction aiming at a target industry;

Optionally, the knowledge-graph-based data processing apparatus 80 further includes: a data filtering module 810, configured to:

acquiring a screening instruction aiming at the visual interface diagram;

It should be noted that, in the embodiment corresponding to fig. 8, the content not mentioned may be referred to the description of the method embodiment, and will not be repeated here.

In the embodiment of the application, the association relationship among various industries, such as the supply relationship and the demand relationship among the industries, can be intuitively checked by generating the knowledge graph and generating the visual interface graph based on the knowledge graph and outputting the visual interface graph, so that the related industry of a certain industry is rapidly determined. When a certain industry is abnormally changed, the related industry and the influence condition of the industry abnormality on the related industry can be determined, the related industry is quickly adjusted, for example, the output data quantity of the related industry is increased or reduced, the resource waste is avoided, the development of the industry is restored, and the data processing efficiency is further improved.

Referring to fig. 9, fig. 9 is a schematic diagram of a composition structure of a computer device according to an embodiment of the present application. As shown in fig. 9, the above-mentioned computer device 90 may include: processor 901, network interface 904, and memory 905, and further, the above-described computer device 90 may further include: a user interface 903, and at least one communication bus 902. Wherein a communication bus 902 is employed to facilitate a coupled communication between the components. The user interface 903 may include a Display (Display), a Keyboard (Keyboard), and the optional user interface 903 may further include a standard wired interface, a wireless interface. The network interface 904 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 905 may be a high-speed RAM memory or a nonvolatile memory (non-volatile memory), such as at least one magnetic disk memory. The memory 905 may also optionally be at least one storage device located remotely from the processor 901. As shown in fig. 9, an operating system, a network communication module, a user interface module, and a device control application program may be included in the memory 905, which is one type of computer-readable storage medium.

In the computer device 90 shown in fig. 9, the network interface 904 may provide network communication functions; while user interface 903 is primarily an interface for providing input to a user; and processor 901 may be used to invoke a device control application stored in memory 905 to implement:

determining a supply ratio between a first industry and a second industry based on supply data amounts between the first industry and the second industry in each two industries and output data amounts of the first industry until determining a supply ratio between each two industries in the N industries;

It should be understood that the computer device 90 described in the embodiment of the present application may perform the description of the above-mentioned data processing method based on the knowledge graph in the embodiment corresponding to fig. 1 and fig. 2, and may also perform the description of the above-mentioned data processing apparatus based on the knowledge graph in the embodiment corresponding to fig. 8, which is not repeated herein. In addition, the description of the beneficial effects of the same method is omitted.

The present application also provides a computer readable storage medium storing a computer program comprising program instructions which, when executed by a computer, cause the computer to perform a method as in the previous embodiments, the computer being part of a computer device as mentioned above. Such as the processor 901 described above. As an example, the program instructions may be executed on one computer device or on multiple computer devices located at one site, or alternatively, on multiple computer devices distributed across multiple sites and interconnected by a communication network, which may constitute a blockchain network.

Those skilled in the art will appreciate that implementing all or part of the above-described methods in the embodiments may be accomplished by computer programs to instruct related hardware, where the programs may be stored on a computer readable storage medium, and where the programs, when executed, may include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random-access Memory (Random Access Memory, RAM), or the like.

The foregoing disclosure is only illustrative of the preferred embodiments of the present application and is not intended to limit the scope of the claims herein, as the equivalent of the claims herein shall be construed to fall within the scope of the claims herein.

Claims

1. The data processing method based on the knowledge graph is characterized by comprising the following steps of:

generating a visual interface diagram based on the knowledge graph, and outputting the visual interface diagram;

acquiring a screening instruction aiming at the visual interface diagram;

screening industries with target relation data larger than a target threshold value among the N industries based on the screening instruction, and displaying industries with target relation data larger than the target threshold value in the visual interface diagram;

acquiring an update instruction aiming at the visual interface diagram;

determining node areas and node colors of display nodes corresponding to each industry based on the corresponding relation between the output data quantity of each industry and a preset data quantity range;

2. The method of claim 1, wherein the knowledge-graph comprises a first knowledge-graph and a second knowledge-graph, the first knowledge-graph being used to reflect supply relationships between industries and the second knowledge-graph being used to reflect demand relationships between industries;

the building a knowledge graph based on the supply ratio between each two industries of the N industries and the demand ratio between each two industries of the N industries comprises:

constructing the second knowledge graph based on the ratio of requirements between every two industries in the N industries;

the method further comprises the steps of:

displaying the map data in the first knowledge map through a first interface map in a visual interface;

and displaying the map data in the second knowledge map through a second interface map in the visual interface.

3. The method of claim 1, wherein the generating a visual interface map based on the knowledge-graph comprises:

invoking a visual operation interface generating component;

acquiring attribute information of an image display interface, and generating the visual interface diagram according to the attribute information of the image display interface and map data corresponding to the knowledge map, wherein the attribute information of the image display interface comprises at least one of screen size, image display dimension or image display type of the image display interface.

4. A method according to any one of claims 1-3, wherein the method further comprises:

acquiring a viewing instruction aiming at a target industry;

5. A knowledge-graph-based data processing apparatus, comprising:

a supply determining module, configured to determine a supply ratio between a first industry and a second industry, based on a supply data amount between the first industry and the second industry in each two industries, and a yield data amount of the first industry, until a supply ratio between each two industries in the N industries is determined;

the interface display module is used for generating a visual interface diagram based on the knowledge graph and outputting the visual interface diagram;

the data screening module is used for acquiring a screening instruction aiming at the visual interface diagram, screening industries of which the target relation data is larger than a target threshold value among the N industries based on the screening instruction, and displaying industries of which the target relation data is larger than the target threshold value in the visual interface diagram;

the interface updating module is used for acquiring an updating instruction aiming at the visual interface diagram; determining node areas and node colors of display nodes corresponding to each industry based on the corresponding relation between the output data quantity of each industry and a preset data quantity range; and updating the display nodes corresponding to each industry in the visual interface diagram according to the node areas and the node colors of the display nodes corresponding to each industry.

6. The apparatus of claim 5, wherein the knowledge-graph comprises a first knowledge-graph and a second knowledge-graph, the first knowledge-graph to reflect supply relationships between industries and the second knowledge-graph to reflect demand relationships between industries; the map construction module is specifically configured to:

the knowledge-graph-based data processing device further comprises:

7. A computer device, comprising: a processor, a memory, and a network interface;

the processor is connected to the memory, the network interface for providing data communication functions, the memory for storing program code, the processor for invoking the program code to cause the computer device to perform the method of any of claims 1-4.

8. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program adapted to be loaded and executed by a processor to cause a computer device having the processor to perform the method of any of claims 1-4.