CN116166820A - Visualized knowledge graph generation method and device based on provider data - Google Patents
Visualized knowledge graph generation method and device based on provider data Download PDFInfo
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- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The embodiment of the invention provides a visualized knowledge graph generation method and device based on provider data, wherein the method comprises the following steps: acquiring the service data of the supply business from the SRM purchasing business database at fixed time; updating a preset vendor knowledge graph base according to the vendor business data; counting the service data of the suppliers contained in the knowledge graph base of the suppliers according to a preset counting rule to obtain a corresponding counting result of the suppliers; establishing a provider map model according to the provider knowledge map library and the provider statistical result; and visually rendering the provider graph model to form a knowledge graph display page. According to the embodiment of the invention, the provider information can be acquired and centrally managed by generating the visual knowledge graph, so that the provider statistical result of the target provider can be intuitively displayed, and the high-quality provider can be conveniently selected based on the displayed provider statistical result.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a visualized knowledge graph generation method and device based on provider data.
Background
In recent years, supply chain purchasing patterns have become the primary purchasing means employed in many business operations. The traditional purchasing mode only pays attention to management of resources in enterprises, namely pursuing optimization of purchasing flows, monitoring purchasing links and the like in isolation, and does not effectively cooperate with suppliers. In the supply chain management mode, the purchasing management not only enhances the management of the internal resources, but also turns to the management of the external resources, thereby enhancing the cooperation with suppliers in the aspects of information communication, market strain capacity, product design, product quality, delivery date and the like.
However, in the prior art, the overall evaluation of the suppliers by many enterprises remains in artificial subjective judgment, the results are easily affected by human factors, and the historical transaction data related to the suppliers are also scattered in each business system, so that it is difficult to perform centralized management on the data and perform visual display on the supplier information.
Disclosure of Invention
The embodiment of the invention provides a visualized knowledge graph generation method and device based on provider data, which aim to solve the problem that the data are difficult to manage in a centralized way and the provider information is visualized and displayed in the prior art.
In a first aspect, an embodiment of the present invention provides a method for generating a visual knowledge graph based on provider data, where the method includes:
acquiring the service data of the supply business from the SRM purchasing business database at fixed time;
updating a preset vendor knowledge graph base according to the vendor business data;
counting the service data of the suppliers contained in the knowledge graph base of the suppliers according to a preset counting rule to obtain a corresponding counting result of the suppliers;
establishing a provider map model according to the provider knowledge map library and the provider statistical result;
and visually rendering the provider graph model to form a knowledge graph display page.
In a second aspect, an embodiment of the present invention further provides a device for generating a visual knowledge graph based on provider data, where the device includes:
the acquisition unit is used for acquiring the service data of the provisioning business from the SRM purchasing business database at fixed time;
the updating unit is used for updating a preset vendor knowledge map base according to the vendor business data;
the statistics unit is used for carrying out statistics on the provider service data contained in the provider knowledge graph base according to a preset statistics rule to obtain a corresponding provider statistics result;
the first generation unit is used for establishing a provider map model according to the provider knowledge map base and the provider statistical result;
and the second generation unit is used for performing visual rendering on the provider map model to form a knowledge map display page.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the method described in the first aspect when executing the computer program.
In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium storing a computer program comprising program instructions which, when executed by a processor, implement the method of the first aspect.
The embodiment of the invention provides a visualized knowledge graph generation method and device based on provider data, wherein the method comprises the following steps: acquiring the service data of the supply business from the SRM purchasing business database at fixed time; updating a preset vendor knowledge graph base according to the vendor business data; counting the service data of the suppliers contained in the knowledge graph base of the suppliers according to a preset counting rule to obtain a corresponding counting result of the suppliers; establishing a provider map model according to the provider knowledge map library and the provider statistical result; and visually rendering the provider graph model to form a knowledge graph display page. According to the embodiment of the invention, the provider information can be acquired and centrally managed by generating the visual knowledge graph, so that the provider statistical result of the target provider can be intuitively displayed, and the high-quality provider can be conveniently selected based on the displayed provider statistical result.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for generating a visual knowledge graph based on provider data according to an embodiment of the present invention;
fig. 2 is a schematic sub-flowchart of a method for generating a visual knowledge graph based on provider data according to an embodiment of the present invention;
fig. 3 is another schematic sub-flowchart of a method for generating a visual knowledge graph based on provider data according to an embodiment of the present invention;
fig. 4 is a schematic block diagram of a visual knowledge-graph generating device based on provider data according to an embodiment of the present invention;
fig. 5 is a schematic block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
The embodiment of the invention provides a visual knowledge graph generation method and device based on provider data. Referring to fig. 1, fig. 1 is a schematic flowchart of a method for generating a visual knowledge graph based on provider data according to an embodiment of the present invention. The visualized knowledge graph generating method based on the provider data is applied to a terminal, wherein the terminal can be an electronic device with a communication function, such as a smart phone, a tablet personal computer, a notebook computer, a desktop computer, a personal digital assistant, a wearable device and the like.
Fig. 1 is a schematic flow chart of a method for generating a visual knowledge graph based on provider data according to an embodiment of the invention. As shown in fig. 1, the method includes the following steps S110 to S150.
S110, periodically collecting the service data of the provisioning service from the SRM purchase service database.
In this embodiment, the SRM full name Supplier Relationship Management, chinese means that the relationship management of suppliers, the SRM purchasing service database stores a large amount of purchasing service data and supplier data, and by using the ETL technology, service track data of different dimensions of suppliers can be collected from the SRM purchasing service database, so that for the accuracy of the data, the supplier service data needs to be collected regularly, and the collection period can be set according to the requirement, for example, the supplier service data can be collected automatically every 30 minutes.
In one embodiment, step S110 includes:
acquiring basic data of suppliers from the SRM purchasing business database according to preset information acquisition items; and carrying out multidimensional analysis on the provider base data according to preset analysis dimensions to obtain provider service data containing service track data with different dimensions.
In this embodiment, the information collection item includes price polling information, bid information, vendor main data information, purchase order information, vendor authentication data information, and vendor performance management information; the analysis dimensions include a sourcing price inquiry response capability, a sourcing bid response capability, a supplier supply range, supplier base information, transaction records, certification qualifications, and performance capabilities.
And acquiring supplier base data such as price inquiring information, bidding information, bid information, supplier main data information, purchase order information, supplier authentication information, supplier performance management information and the like from the SRM purchasing service database by using an ETL technology, and carrying out multidimensional analysis on the supplier base data to obtain supplier service data which can embody business track data with different dimensions such as source searching price inquiring response capability, source searching bid response capability, supplier supply range, supplier base information, transaction records, authentication qualification, performance capability and the like.
In one embodiment, the SRM procurement services database further includes an enterprise information table, as shown in fig. 2, after step S110, further includes:
s1101, searching the enterprise information table according to preset searching conditions, and obtaining a corresponding regional statistical result according to the searching result statistics;
s1102, intercepting a corresponding target mark region from the region statistics result according to a preset interception condition;
and S1103, marking the target marking region.
In this embodiment, the SRM procurement service database includes an enterprise information table, enterprise attribution information is obtained by retrieving the enterprise information table, the number of enterprises of each province is counted according to the enterprise attribution information, a corresponding regional statistics result is obtained, the first n provinces with the largest number of suppliers are intercepted from the regional statistics result according to a preset interception condition n, and the first n provinces with the largest number of suppliers are marked.
In one embodiment, after step S1102, the method further includes:
acquiring a data display frame by using an ECharts visual JS library; and dynamically displaying the region statistical result and the target mark region on the data display frame.
In this embodiment, the ECharts is an open source visualization library implemented by using JS (JavaScript), and may be smoothly run on an electronic device, and compatible with most of current browsers, and by using the ECharts visualization JS library, a data display frame is obtained, where the data display frame may be a map for data visualization, a developer may dynamically display the number of suppliers in each province in digital form on the map, and perform amplification processing on the first n provinces with the largest number of suppliers, and may also perform comparative display on the registered destination suppliers.
And S120, updating a preset provider knowledge graph base according to the provider service data.
In this embodiment, with the promotion of the purchasing scale, there is a situation that information is not equivalent between the suppliers and the purchasing parties, and it is difficult for the purchasing parties to identify a high-quality supplier group. And constructing a provider knowledge graph base according to the provider service data, presenting the association relation of the providers in a knowledge graph mode, intuitively displaying the capabilities of the providers in aspects of qualification, quotation participation, supply, performance and the like, and providing data support for the selection of high-quality providers.
And S130, counting the provider service data contained in the provider knowledge graph base according to a preset counting rule to obtain a corresponding provider counting result.
In this embodiment, provider base data is acquired from the SRM procurement services database according to a preset information acquisition item; and carrying out multidimensional analysis on the provider base data according to preset analysis dimensions to obtain provider service data containing service track data with different dimensions.
The information acquisition items comprise price inquiring information, bidding information, bid information, supplier main data information, purchase order information, supplier authentication information and supplier performance management information; the analysis dimensions include a sourcing price inquiry response capability, a sourcing bid response capability, a supplier supply range, supplier base information, transaction records, certification qualifications, and performance capabilities.
Counting the polling information in the service data of the suppliers to obtain the number of times of polling and the number of times of participation of the target suppliers; counting bidding information in the service data of the supply business to obtain bid winning times and participation times of the target supplier; counting bid information in the provider business data to obtain bid times and participation times of a target provider; counting the main data information of the suppliers in the business data of the suppliers to obtain the number of purchasing organizations of the target suppliers and the times of admitting the categories; counting the purchase order information in the service data of the supply business, and counting the receiving quantity and the receiving amount of the month according to the order creation time; counting the supplier authentication information in the supplier business data to obtain qualification information of the target supplier in effective time; counting the supplier performance management information in the supplier business data to obtain the latest assessment report and corresponding assessment of the target supplier; according to the statistical result, the source searching price inquiring response capability, the source searching price competing response capability, the source searching price searching response capability, the supplier supply range, the supplier basic information, the transaction record, the authentication qualification and the performance capability of the target supplier can be intuitively displayed, and data support is provided for the purchasing party to select the high-quality supplier.
And S140, establishing a provider graph model according to the provider knowledge graph base and the provider statistical result.
In this embodiment, according to the association relationship between suppliers in the supplier knowledge graph library and the supplier statistical result obtained by counting the supplier business data contained in the supplier knowledge graph library according to the preset statistical rule, the construction of the supplier graph model can be rapidly and accurately performed.
In one embodiment, step S140 includes:
analyzing the provider statistics results according to preset scoring rules to obtain corresponding provider scoring results; and establishing a corresponding provider graph model according to the provider scoring result and the association relation between providers in the provider knowledge graph base.
In this embodiment, the association relationship between suppliers in the knowledge graph library of suppliers is combined with the statistical result of suppliers, and according to a preset scoring rule, multi-dimensional scoring predictions of quality, capability, technology, service, delivery and the like are performed on the target suppliers, so as to obtain corresponding scoring results of suppliers;
and establishing a corresponding provider graph model according to the provider scoring result and the association relation between providers in the provider knowledge graph base.
In one embodiment, after step S104, the method further includes:
if a data newly-added instruction is detected, generating a corresponding newly-added map node according to the newly-added service data; and adding the newly added map nodes to the initial provider map model so as to obtain an updated provider map model.
In this embodiment, for accuracy of data, service data of a provider needs to be collected at regular time, and if a data newly-added instruction is detected, a corresponding newly-added map node is generated according to the newly-added service data; and adding the newly added map nodes to the initial provider map model so as to obtain an updated provider map model.
And S150, performing visual rendering on the provider map model to form a knowledge map display page.
In this embodiment, the provider map model is visually rendered in a chart or graphic manner, where the knowledge map display page includes a source searching and price inquiring module, a source searching and bidding module, a supply range module, a transaction recording module, a qualification module, a performance capability module, a basic information module, and a provider distribution map module.
In one embodiment, as shown in fig. 3, step S150 includes:
s1501, acquiring corresponding display parameters from the provider map model according to preset display items;
s1502, generating a display module corresponding to the display item according to the display parameter;
s1503, acquiring characteristic parameters of each provider from the provider map model;
s1504, adding the characteristic parameters into a preset default table to generate a corresponding parameter display table;
s1505, combining the display module with the parameter display table so as to generate a corresponding knowledge graph display page.
In this embodiment, the display item includes price inquiry information, bid information, vendor main data information, purchase order information, vendor authentication data information, and vendor performance management information; and generating a source price inquiry module, a source searching and bidding module, a supply range module, a transaction recording module, a qualification module and a performance capability module which correspond to the display item according to the display parameter.
The characteristic parameters comprise information such as enterprise names, personnel sizes, registered capital, actual collection and registration funds, enterprise types, participants, establishment time, registration addresses, operation ranges and the like of target suppliers, and the characteristic parameters are added into a preset default table to generate a corresponding parameter display table, namely a basic information module.
And combining the display module with the parameter display form so as to generate a corresponding knowledge graph display page. The knowledge graph display page further comprises a provider distribution map module, wherein the provider distribution map module can dynamically display the region statistical result and the target marking region and can also conduct comparison display on a target provider registered place.
In summary, the embodiment of the invention can acquire and centrally manage the supplier information by generating the visual knowledge graph, thereby intuitively displaying the supplier statistics result of the target supplier and conveniently selecting the high-quality supplier based on the displayed supplier statistics result.
Fig. 4 is a schematic block diagram of a visual knowledge-graph generating device based on provider data according to an embodiment of the invention. As shown in fig. 4, the present invention also provides a visual knowledge graph generating device based on provider data, corresponding to the above visual knowledge graph generating method based on provider data, where the device may be configured in a terminal such as a desktop computer, a tablet computer, a laptop computer, etc. Specifically, referring to fig. 4, the visual knowledge graph generating apparatus 700 based on provider data includes an acquisition unit 701, an update unit 702, a statistics unit 703, a first generation unit 704, and a second generation unit 705.
An acquisition unit 701, configured to acquire the service data of the vendor from the SRM procurement services database at regular time;
an updating unit 702, configured to update a preset vendor knowledge-graph library according to the vendor service data;
a statistics unit 703, configured to perform statistics on provider service data included in the provider knowledge graph base according to a preset statistics rule, so as to obtain a corresponding provider statistics result;
a first generating unit 704, configured to establish a vendor map model according to the vendor knowledge map base and the vendor statistics;
and the second generating unit 705 is configured to perform visual rendering on the vendor map model to form a knowledge map display page.
In some embodiments, the collecting unit 701 is specifically configured to, when performing the step of collecting the provider service data periodically from the SRM procurement services database:
acquiring basic data of suppliers from the SRM purchasing business database according to preset information acquisition items; and carrying out multidimensional analysis on the provider base data according to preset analysis dimensions to obtain provider service data containing service track data with different dimensions.
In some embodiments, the SRM procurement services database further includes an enterprise information table, and the collecting unit 701 is further configured to, after performing the step of collecting the provider service data from the SRM procurement services database at regular intervals:
searching the enterprise information table according to preset search conditions, and obtaining a corresponding regional statistical result according to the search result statistics; intercepting a corresponding target mark region from the region statistics result according to a preset interception condition; and marking the target marking region.
In some embodiments, after performing the marking step on the target marking zone, the acquisition unit 701 is further configured to:
acquiring a data display frame by using an ECharts visual JS library; and dynamically displaying the region statistical result and the target mark region on the data display frame.
In some embodiments, the first generating unit 704 is specifically configured to, when executing a step of building a vendor map model according to the vendor knowledge map base and the vendor statistics:
analyzing the provider statistics results according to preset scoring rules to obtain corresponding provider scoring results; and establishing a corresponding provider graph model according to the provider scoring result and the association relation between providers in the provider knowledge graph base.
In some embodiments, the first generating unit 704 is further configured to, after performing the step of building a vendor map model according to the vendor knowledge map base and the vendor statistics:
if a data newly-added instruction is detected, generating a corresponding newly-added map node according to the newly-added service data; and adding the newly added map nodes to the initial provider map model so as to obtain an updated provider map model.
In some embodiments, the second generating unit 705 is further configured to, after performing the step of visually rendering the vendor profile model to form a knowledge-graph presentation page:
acquiring corresponding display parameters from the provider map model according to preset display items; generating a display module corresponding to the display item according to the display parameter; acquiring characteristic parameters of each provider from the provider map model; adding the characteristic parameters into a preset default table to generate a corresponding parameter display table; and combining the display module with the parameter display form so as to generate a corresponding knowledge graph display page.
It should be noted that, as those skilled in the art can clearly understand, the specific implementation process of the visualized knowledge graph generating device and each unit based on the provider data may refer to the corresponding description in the foregoing method embodiment, and for convenience and brevity of description, the detailed description is omitted herein.
The above-described visual knowledge graph generation apparatus based on provider data may be implemented in the form of a computer program which can be run on a computer device as shown in fig. 5.
Referring to fig. 5, fig. 5 is a schematic block diagram of an electronic device according to an embodiment of the present invention. The electronic device 800 may be a terminal, where the terminal may be an electronic device with a communication function, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, and a wearable device.
With reference to fig. 5, the electronic device 800 includes a processor 802, a memory, and a network interface 805, which are connected by a system bus 801, wherein the memory may include a non-volatile storage medium 803 and an internal memory 804.
The nonvolatile storage medium 803 may store an operating system 8031 and a computer program 8032. The computer program 8032 includes program instructions that, when executed, cause the processor 802 to perform a method of generating a visual knowledge-graph based on vendor data.
The processor 802 is operable to provide computing and control capabilities to support the operation of the overall electronic device 800.
The internal memory 804 provides an environment for the execution of the computer program 8032 in the non-volatile storage medium 803, which computer program 8032, when executed by the processor 802, causes the processor 802 to perform a method for generating a visual knowledge graph based on vendor data.
The network interface 805 is used for network communication with other devices. It will be appreciated by those skilled in the art that the structure shown in fig. 5 is merely a block diagram of a portion of the structure associated with the present inventive arrangements and is not limiting of the electronic device 800 to which the present inventive arrangements are applied, and that a particular electronic device 800 may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
Wherein the processor 802 is configured to execute a computer program 8032 stored in the memory, so as to implement the following steps:
acquiring the service data of the supply business from the SRM purchasing business database at fixed time; updating a preset vendor knowledge graph base according to the vendor business data; counting the service data of the suppliers contained in the knowledge graph base of the suppliers according to a preset counting rule to obtain a corresponding counting result of the suppliers; establishing a provider map model according to the provider knowledge map library and the provider statistical result; and visually rendering the provider graph model to form a knowledge graph display page.
In some embodiments, the processor 802, when implementing the step of periodically collecting provider service data from the SRM procurement services database, specifically implements the steps of:
acquiring basic data of suppliers from the SRM purchasing business database according to preset information acquisition items; and carrying out multidimensional analysis on the provider base data according to preset analysis dimensions to obtain provider service data containing service track data with different dimensions.
In some embodiments, the SRM procurement services database further includes an enterprise information table, and the processor 802 further implements the following steps after implementing the step of periodically collecting the provider service data from the SRM procurement services database:
searching the enterprise information table according to preset search conditions, and obtaining a corresponding regional statistical result according to the search result statistics; intercepting a corresponding target mark region from the region statistics result according to a preset interception condition; and marking the target marking region.
In some embodiments, after implementing the marking step for the target marking zone, the processor 802 further implements the following steps:
acquiring a data display frame by using an ECharts visual JS library; and dynamically displaying the region statistical result and the target mark region on the data display frame.
In some embodiments, when implementing the step of building a vendor map model according to the vendor knowledge map library and the vendor statistics, the processor 802 specifically implements the following steps:
analyzing the provider statistics results according to preset scoring rules to obtain corresponding provider scoring results; and establishing a corresponding provider graph model according to the provider scoring result and the association relation between providers in the provider knowledge graph base.
In some embodiments, after implementing the step of building a vendor profile model from the vendor knowledge profile base and the vendor statistics, the processor 802 further implements the steps of:
if a data newly-added instruction is detected, generating a corresponding newly-added map node according to the newly-added service data; and adding the newly added map nodes to the initial provider map model so as to obtain an updated provider map model.
In some embodiments, when implementing the step of visually rendering the vendor map model to form a knowledge map display page, the processor 802 specifically implements the following steps:
acquiring corresponding display parameters from the provider map model according to preset display items; generating a display module corresponding to the display item according to the display parameter; acquiring characteristic parameters of each provider from the provider map model; adding the characteristic parameters into a preset default table to generate a corresponding parameter display table; and combining the display module with the parameter display form so as to generate a corresponding knowledge graph display page.
It should be appreciated that in embodiments of the present invention, the processor 802 may be a central processing unit (Central Processing Unit, CPU), the processor 802 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Those skilled in the art will appreciate that all or part of the flow in a method embodying the above described embodiments may be accomplished by computer programs instructing the relevant hardware. The computer program comprises program instructions, and the computer program can be stored in a storage medium, which is a computer readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present invention also provides a storage medium. The storage medium may be a computer readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. The program instructions, when executed by the processor, cause the processor to perform the steps of:
acquiring the service data of the supply business from the SRM purchasing business database at fixed time; updating a preset vendor knowledge graph base according to the vendor business data; counting the service data of the suppliers contained in the knowledge graph base of the suppliers according to a preset counting rule to obtain a corresponding counting result of the suppliers; establishing a provider map model according to the provider knowledge map library and the provider statistical result; and visually rendering the provider graph model to form a knowledge graph display page.
In one embodiment, the processor, when executing the program instructions to implement the step of periodically collecting provider service data from the SRM procurement services database, specifically implements the steps of:
acquiring basic data of suppliers from the SRM purchasing business database according to preset information acquisition items; and carrying out multidimensional analysis on the provider base data according to preset analysis dimensions to obtain provider service data containing service track data with different dimensions.
In one embodiment, the SRM procurement services database further includes an enterprise information table, and the processor further implements the following steps after performing the step of periodically collecting the provider service data from the SRM procurement services database:
searching the enterprise information table according to preset search conditions, and obtaining a corresponding regional statistical result according to the search result statistics; intercepting a corresponding target mark region from the region statistics result according to a preset interception condition; and marking the target marking region.
In an embodiment, after performing the marking step on the target marking area, the processor further performs the following steps:
acquiring a data display frame by using an ECharts visual JS library; and dynamically displaying the region statistical result and the target mark region on the data display frame.
In one embodiment, the processor, when executing the step of establishing a vendor map model according to the vendor knowledge map library and the vendor statistics, specifically implements the following steps:
analyzing the provider statistics results according to preset scoring rules to obtain corresponding provider scoring results; and establishing a corresponding provider graph model according to the provider scoring result and the association relation between providers in the provider knowledge graph base.
In one embodiment, the processor further performs the following steps after performing the step of building a vendor profile model from the vendor knowledge profile library and the vendor statistics:
if a data newly-added instruction is detected, generating a corresponding newly-added map node according to the newly-added service data; and adding the newly added map nodes to the initial provider map model so as to obtain an updated provider map model.
In an embodiment, the processor, when performing the step of visually rendering the vendor map model to form a knowledge map display page, specifically implements the following steps:
acquiring corresponding display parameters from the provider map model according to preset display items; generating a display module corresponding to the display item according to the display parameter; acquiring characteristic parameters of each provider from the provider map model; adding the characteristic parameters into a preset default table to generate a corresponding parameter display table; and combining the display module with the parameter display form so as to generate a corresponding knowledge graph display page.
The storage medium may be a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, or other various computer-readable storage media that can store program codes.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be combined, divided and deleted according to actual needs. In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a terminal, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. The visualized knowledge graph generation method based on the provider data is characterized by comprising the following steps of:
acquiring the service data of the supply business from the SRM purchasing business database at fixed time;
updating a preset vendor knowledge graph base according to the vendor business data;
counting the service data of the suppliers contained in the knowledge graph base of the suppliers according to a preset counting rule to obtain a corresponding counting result of the suppliers;
establishing a provider map model according to the provider knowledge map library and the provider statistical result;
and visually rendering the provider graph model to form a knowledge graph display page.
2. The method for generating a visual knowledge graph based on provider data according to claim 1, wherein the periodically collecting provider business data from the SRM procurement business database comprises:
acquiring basic data of suppliers from the SRM purchasing business database according to preset information acquisition items;
and carrying out multidimensional analysis on the provider base data according to preset analysis dimensions to obtain provider service data containing service track data with different dimensions.
3. The method for generating a visual knowledge graph based on provider data according to claim 1, wherein the SRM procurement services database further comprises an enterprise information table, and further comprising, after the timing acquisition of the provider service data from the SRM procurement services database:
searching the enterprise information table according to preset search conditions, and obtaining a corresponding regional statistical result according to the search result statistics;
intercepting a corresponding target mark region from the region statistics result according to a preset interception condition;
and marking the target marking region.
4. The method for generating a visual knowledge graph based on provider data according to claim 3, wherein after marking the target marking region, further comprising:
acquiring a data display frame by using an ECharts visual JS library;
and dynamically displaying the region statistical result and the target mark region on the data display frame.
5. The method for generating a visual knowledge graph based on provider data according to claim 1, wherein the establishing a provider graph model according to the provider knowledge graph base and the provider statistics comprises:
analyzing the provider statistics results according to preset scoring rules to obtain corresponding provider scoring results;
and establishing a corresponding provider graph model according to the provider scoring result and the association relation between providers in the provider knowledge graph base.
6. The method for generating a visual knowledge graph based on provider data according to claim 1, wherein after the provider knowledge graph model is established according to the provider knowledge graph base and the provider statistics, the method further comprises:
if a data newly-added instruction is detected, generating a corresponding newly-added map node according to the newly-added service data;
and adding the newly added map nodes to the initial provider map model so as to obtain an updated provider map model.
7. The method for generating a visual knowledge-graph based on provider data according to claim 1, wherein the visually rendering the provider graph model to form a knowledge-graph display page comprises:
acquiring corresponding display parameters from the provider map model according to preset display items;
generating a display module corresponding to the display item according to the display parameter;
acquiring characteristic parameters of each provider from the provider map model;
adding the characteristic parameters into a preset default table to generate a corresponding parameter display table;
and combining the display module with the parameter display form so as to generate a corresponding knowledge graph display page.
8. A visual knowledge graph generation device based on provider data, comprising:
the acquisition unit is used for acquiring the service data of the provisioning business from the SRM purchasing business database at fixed time;
the updating unit is used for updating a preset vendor knowledge map base according to the vendor business data;
the statistics unit is used for carrying out statistics on the provider service data contained in the provider knowledge graph base according to a preset statistics rule to obtain a corresponding provider statistics result;
the first generation unit is used for establishing a provider map model according to the provider knowledge map base and the provider statistical result;
and the second generation unit is used for performing visual rendering on the provider map model to form a knowledge map display page.
9. An electronic device comprising a memory and a processor, the memory having a computer program stored thereon, the processor implementing the method of any of claims 1-7 when executing the computer program.
10. A computer readable storage medium, characterized in that the storage medium stores a computer program comprising program instructions which, when executed by a processor, can implement the method of any of claims 1-7.
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