Mobile operation platform business management method and system based on knowledge graph

Abstract

The invention discloses a mobile operation platform business management method and system based on a knowledge graph, and belongs to the technical field of Internet. Comprising the following steps: collecting mobile service data to form service data sets, and describing and classifying each service data set according to preset structured data; performing service information extraction on the structured data in each single service data set; performing knowledge fusion on the entity relationship data corresponding to each single service data set to generate a multi-dimensional mobile service knowledge graph, and storing the mobile service knowledge graph to a graphic database; and performing identification according to the keyword input by the client, traversing the mobile business knowledge graph, and displaying the mobile business knowledge graph to the client through a preset picture display template. The business knowledge is accumulated by applying the knowledge graph, the efficiency is high, the related business data is automatically summarized, the cost is lower, and the maintenance is convenient.

Description

Technical Field

[0001] The present invention relates to the field of Internet technology, and in particular to a mobile operation platform business management method and system based on knowledge graph. Background Art

[0002] With the transformation of mobile palm hall to "communication + life", its business, marketing cases, rights, discounts, and activities have exploded. The current mobile operation business scope can be divided into two categories: main business and cross-industry. The main business includes traditional business centered on recharge and traffic, and cross-industry includes cross-industry centered on phone bill shopping and membership business. There is an overlap between various businesses in the main business and cross-industry, which leads to the complexity of business, marketing cases, rights, discounts, and activities. The original product model is not applicable and often requires manual adjustment. There is a lack of unified product model abstraction, discrete data interweaving, low structured abstraction, and high degree of customization. Therefore, it has become an urgent need to build a business management system suitable for the intelligent development of mobile operation platforms.

[0003] Therefore, a business management method and system for a mobile operation platform is needed, which can effectively integrate various mobile operation businesses and realize unified business display. Summary of the invention

[0004] The purpose of the present invention is to provide a mobile operation platform business management method and system based on knowledge graph to solve the problems raised in the above background technology: A mobile operation platform business management method based on knowledge graph, characterized in that the method comprises the following steps: Step S1: Collect mobile service data to form a service data set, classify each service data in the service data set to generate a mobile service data graph category, establish a service data set type, and the service data set type includes a recharge service data set, a traffic service data set, and a heterogeneous commodity service data set; describe and classify each service data set according to preset structured data, and the structured data includes service entities, attribute data, and entity relationship data; Step S2: extracting business information from structured data in each individual business data set, and extracting business entity data, attribute data, and entity relationship data in each business data set; Step S3: performing knowledge fusion on the entity relationship data corresponding to each single business data set to generate a multi-dimensional mobile business knowledge graph, and storing the mobile business knowledge graph in a graph database; Step S4: Identify the keywords input by the client, traverse the mobile business knowledge graph, and display it to the customer through a preset picture display template.

[0005] Furthermore, the specific implementation process of describing and classifying the business data set in step S1 includes: By collecting logs, mobile service data is collected from the service center of the mobile operation platform to form a service data set, wherein the logs include service logs and associated service logs, wherein: all mobile service data are connected to the service center of the mobile operation platform through a unified data interface, the unified data interface adopts a standardized transmission protocol, and defines a unified data format; the mobile operation platform includes the client, WAP hall, network hall and terminal mall of the mobile business hall; Classify each mobile service data in the service data set to generate mobile service data graph categories; establish service data set types according to the mobile service data graph categories, wherein: the service data set types include recharge service data sets, traffic service data sets and heterogeneous commodity service data sets; Each business data set is described and classified through preset structured data, where structured data includes business entity data, attribute data and entity relationship data.

[0006] It needs to be explained that in actual operation, business data sets can be collected by collecting logs, such as FlumeAgent logs; the business operation logs of business carrier platforms such as CRM, BOSS, and channels are synchronized to Kafka in real time; according to the logs, the entity information involved in the business may include the specific business name, the list of users who enter to handle specific business, and the list of corresponding carriers; the attribute information of the business may be defined as voice, traffic, cross-industry and their corresponding sub-attributes and attribute values; the relationship between business entities can be an actual subscription relationship or a possible intended subscription relationship; among them, cross-industry refers to businesses defined other than voice and traffic services.

[0007] Furthermore, the specific implementation process of extracting the business information in step S2 includes: Business information is extracted from the structured data in each individual business data set, and business entity data, attribute data and entity relationship data in each business data set are extracted.

[0008] Furthermore, the specific implementation process of generating the multi-dimensional mobile business knowledge graph in step S3 includes: Perform knowledge fusion on the entity relationship data between the corresponding businesses of each single business data set to generate a multi-dimensional mobile business knowledge graph, and store the multi-dimensional mobile business knowledge graph in a graph database, where the multi-dimensional dimensions include user dimension, specific business dimension and business carrier platform dimension; The knowledge fusion includes the relationship between various specific services preset by the system and associating the relevant users according to the relationship between various specific services preset; It also includes the automatic update of the multi-dimensional mobile business knowledge graph when the administrator enters a new business according to the authority; or the automatic update of the multi-dimensional mobile business knowledge graph when a business change is detected.

[0009] Furthermore, the specific implementation process of the client service display in step S4 includes: Obtain keywords input by the client of the mobile operation platform, identify the keywords and similar words to the keywords; send the identified keywords and similar words to the mobile business knowledge graph for traversal, and display them to the customer through a preset picture display template, wherein: the picture display template is used to display the interface logic rules of the specific business, and the interface logic rules are to select the specific business associated with it for priority display based on the relationship between business entities.

[0010] A mobile operation platform business management system based on knowledge graph, the system includes a data acquisition module, a data extraction module, a knowledge fusion module and a query input module; The data acquisition module includes a collection unit and a description unit, wherein the collection unit is used to obtain mobile service data to form a service data set; the description unit is used to perform a structured description on each service data set; The data extraction module is used to extract business information from the structured data in each individual business data set, and extract the business entity data, attribute data and entity relationship data in each business data set; The knowledge fusion module includes a graph unit and a storage unit, wherein the graph unit is used to fuse entity relationships in a business data set to generate a multi-dimensional business knowledge graph; the storage unit is used to store the mobile business knowledge graph in a graph database; The query input module includes an identification unit and a business display unit. The identification unit is used to identify the keywords and similar words of the keywords according to the keywords input by the client of the mobile operation platform; the business display unit is used to send the identified keywords and similar words to the mobile business knowledge graph for traversal, and display them to customers through a preset picture display template.

[0011] Furthermore, the data acquisition module includes a collection unit and a description unit: The collection unit establishes a unified data interface on the mobile operation platform, the unified data interface adopts a standardized transmission protocol, and defines a unified data format, obtains business log information and related business logs through a unified gateway access, extracts mobile business data of the mobile operation platform, and forms a business data set, wherein: all mobile business data are accessed to the business center of the mobile operation platform through a unified data interface; the mobile operation platform includes the client, WAP hall, network hall and terminal mall of the mobile business hall; The description unit generates mobile business data graph categories by classifying each mobile business data in the business data set; establishes business data set types according to the mobile business data graph categories, wherein: the business data set includes a recharge business data set, a traffic business data set and a cross-industry commodity business data set; and describes and classifies each business data set through preset structured data.

[0012] Furthermore, the data extraction module extracts business information from the structured data in each individual business data set, and extracts business entity data, attribute data and entity relationship data in each business data set.

[0013] Furthermore, the knowledge fusion module includes a graph unit and an update unit: The graph unit performs knowledge fusion on entity relationship data between services corresponding to each single service data set, wherein the knowledge fusion includes the relationship between specific services preset by the system and the association of relevant users according to the relationship between specific services preset, generates a multi-dimensional mobile service knowledge graph, and stores the multi-dimensional mobile service knowledge graph in a graph database, wherein: the multi-dimensionality includes user dimension, specific service dimension and service carrier platform dimension; The updating unit automatically updates the multi-dimensional mobile business knowledge graph when the administrator inputs a new business according to the authority; or automatically updates the multi-dimensional mobile business knowledge graph when a business change is detected.

[0014] Furthermore, the query input module includes an identification unit and a business display unit: The identification unit obtains the keyword input by the client of the mobile operation platform and identifies the keyword and similar words to the keyword; The business display unit is used to send the identified keywords and similar words to the mobile business knowledge graph for traversal, and display them to customers through a preset picture display template, wherein: the picture display template is used to display the interface logic rules of the specific business, and the interface logic rules are to select the specific business associated with it to be displayed first according to the relationship between business entities.

[0015] The beneficial effects of the present invention are as follows: the present invention discloses a mobile operation platform business management method and system based on a knowledge graph, which belongs to the field of Internet technology. It includes: collecting mobile business data to form a business data set, and describing and classifying each business data set according to preset structured data; extracting business information from the structured data in each individual business data set; performing knowledge fusion on the entity relationship data corresponding to each individual business data set, generating a multi-dimensional mobile business knowledge graph, and storing the mobile business knowledge graph in a graphic database; identifying keywords input by the client, traversing the mobile business knowledge graph, and presenting it to the customer through a preset picture display template. The present invention accumulates business knowledge by applying knowledge graphs, automatically summarizes relevant business data, is highly efficient, has lower costs, and is easy to maintain. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them: Figure 1 is a flow chart of a method in an embodiment of the present invention; Figure 2 It is a schematic diagram of modules in an embodiment of the present invention; Figure 3 A schematic diagram of the construction process of the mobile business knowledge graph in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0018] like Figure 1 As shown in FIG. 1 , an embodiment of the present invention is provided, which provides a mobile operation platform business management method based on a knowledge graph, characterized in that the method comprises the following steps: Step S1: Collect mobile service data to form a service data set, classify each service data in the service data set to generate a mobile service data graph category, establish a service data set type, and the service data set type includes a recharge service data set, a traffic service data set, and a heterogeneous commodity service data set; describe and classify each service data set according to preset structured data, and the structured data includes service entities, attribute data, and entity relationship data; Step S2: extracting business information from structured data in each individual business data set, and extracting business entity data, attribute data, and entity relationship data in each business data set; Step S3: performing knowledge fusion on the entity relationship data corresponding to each single business data set to generate a multi-dimensional mobile business knowledge graph, and storing the mobile business knowledge graph in a graph database; Step S4: Identify the keywords input by the client, traverse the mobile business knowledge graph, and display it to the customer through a preset picture display template.

[0019] Preferably, the specific implementation process of describing and classifying the business data set in step S1 includes: By collecting logs, mobile service data is collected from the service center of the mobile operation platform to form a service data set, wherein the logs include service logs and associated service logs, wherein: all mobile service data are connected to the service center of the mobile operation platform through a unified data interface, the unified data interface adopts a standardized transmission protocol, and defines a unified data format; the mobile operation platform includes the client, WAP hall, network hall and terminal mall of the mobile business hall; Classify each mobile service data in the service data set to generate mobile service data graph categories; establish service data set types according to the mobile service data graph categories, wherein: the service data set types include recharge service data sets, traffic service data sets and heterogeneous commodity service data sets; Each business data set is described and classified through preset structured data, where structured data includes business entity data, attribute data and entity relationship data.

[0020] Preferably, the specific implementation process of extracting the business information in step S2 includes: Business information is extracted from the structured data in each individual business data set, and business entity data, attribute data and entity relationship data in each business data set are extracted.

[0021] Preferably, the specific implementation process of generating a multi-dimensional mobile business knowledge graph in step S3 includes: Perform knowledge fusion on the entity relationship data between the corresponding businesses of each single business data set to generate a multi-dimensional mobile business knowledge graph, and store the multi-dimensional mobile business knowledge graph in a graph database, where the multi-dimensional dimensions include user dimension, specific business dimension and business carrier platform dimension; The knowledge fusion includes the relationship between various specific services preset by the system and associating the relevant users according to the relationship between various specific services preset; It also includes the automatic update of the multi-dimensional mobile business knowledge graph when the administrator enters a new business according to the authority; or the automatic update of the multi-dimensional mobile business knowledge graph when a business change is detected.

[0022] Preferably, the specific implementation process of the client service display in step S4 includes: Obtain keywords input by the client of the mobile operation platform, identify the keywords and similar words to the keywords; send the identified keywords and similar words to the mobile business knowledge graph for traversal, and display them to the customer through a preset picture display template, wherein: the picture display template is used to display the interface logic rules of the specific business, and the interface logic rules are to select the specific business associated with it for priority display based on the relationship between business entities.

[0023] like Figure 2 As shown, it is an embodiment of the present invention, which is a mobile operation platform business management system based on knowledge graph, and the system includes a data acquisition module, a data extraction module, a knowledge fusion module and a query input module; The data acquisition module includes a collection unit and a description unit, wherein the collection unit is used to obtain mobile service data to form a service data set; the description unit is used to perform a structured description on each service data set; The data extraction module is used to extract business information from the structured data in each individual business data set, and extract the business entity data, attribute data and entity relationship data in each business data set; The knowledge fusion module includes a graph unit and a storage unit, wherein the graph unit is used to fuse entity relationships in a business data set to generate a multi-dimensional business knowledge graph; the storage unit is used to store the mobile business knowledge graph in a graph database; The query input module includes an identification unit and a business display unit. The identification unit is used to identify the keywords and similar words of the keywords according to the keywords input by the client of the mobile operation platform; the business display unit is used to send the identified keywords and similar words to the mobile business knowledge graph for traversal, and display them to customers through a preset picture display template.

[0024] Preferably, the data acquisition module includes a collection unit and a description unit: The collection unit establishes a unified data interface on the mobile operation platform, the unified data interface adopts a standardized transmission protocol, and defines a unified data format, obtains business log information and related business logs through a unified gateway access, extracts mobile business data of the mobile operation platform, and forms a business data set, wherein: all mobile business data are accessed to the business center of the mobile operation platform through a unified data interface; the mobile operation platform includes the client, WAP hall, network hall and terminal mall of the mobile business hall; The description unit generates mobile business data graph categories by classifying each mobile business data in the business data set; establishes business data set types according to the mobile business data graph categories, wherein: the business data set includes a recharge business data set, a traffic business data set and a cross-industry commodity business data set; and describes and classifies each business data set through preset structured data.

[0025] Preferably, the data extraction module extracts business information from the structured data in each individual business data set, and extracts business entity data, attribute data and entity relationship data in each business data set.

[0026] Preferably, the knowledge fusion module includes a graph unit and an update unit: The graph unit performs knowledge fusion on entity relationship data between services corresponding to each single service data set, wherein the knowledge fusion includes the relationship between specific services preset by the system and the association of relevant users according to the relationship between specific services preset, generates a multi-dimensional mobile service knowledge graph, and stores the multi-dimensional mobile service knowledge graph in a graph database, wherein: the multi-dimensionality includes user dimension, specific service dimension and service carrier platform dimension; The updating unit automatically updates the multi-dimensional mobile business knowledge graph when the administrator inputs a new business according to the authority; or automatically updates the multi-dimensional mobile business knowledge graph when a business change is detected.

[0027] Preferably, the query input module includes an identification unit and a business display unit: The identification unit obtains the keyword input by the client of the mobile operation platform and identifies the keyword and similar words to the keyword; The business display unit is used to send the identified keywords and similar words to the mobile business knowledge graph for traversal, and display them to customers through a preset picture display template, wherein: the picture display template is used to display the interface logic rules of the specific business, and the interface logic rules are to select the specific business associated with it to be displayed first according to the relationship between business entities.

[0028] like Figure 3 As shown, it is an embodiment of the present invention, which provides: constructing a unified data access gateway, accessing the relevant business data of the palm hall client, WAP hall, network hall and terminal mall through the unified data gateway, and the data acquisition module acquires the relevant business data. Through the unified data gateway, the data is converted into structured data. Knowledge extraction is performed on the structured data corresponding to each individual business data set to obtain the entity, attribute and entity relationship data corresponding to each individual business data set; knowledge fusion is performed on the entity and entity relationship data corresponding to each individual business data set to generate a mobile business knowledge graph, and the mobile business knowledge graph is stored in a graphic database, such as neo4j.

[0029] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or other arbitrary combinations. When implemented using software, it can be implemented in whole or in part in the form of a computer program product, which includes one or more computer instructions. When loading and executing computer program instructions on a computer, the process or function according to the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium.

[0030] In addition, each functional unit in each embodiment of the present application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into one module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of a software functional module. If the above-mentioned integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. The storage medium can be a read-only memory, a disk or an optical disk, etc.

[0031] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0032] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A mobile operation platform business management method based on knowledge graph, characterized in that: The method comprises the following steps: Step S1: Collect mobile service data to form a service data set, classify each service data in the service data set to generate a mobile service data graph category, establish a service data set type, and the service data set type includes a recharge service data set, a traffic service data set, and a heterogeneous commodity service data set; describe and classify each service data set according to preset structured data, and the structured data includes service entities, attribute data, and entity relationship data; Step S2: extracting business information from structured data in each individual business data set, and extracting business entity data, attribute data, and entity relationship data in each business data set; Step S3: performing knowledge fusion on the entity relationship data corresponding to each single business data set to generate a multi-dimensional mobile business knowledge graph, and storing the mobile business knowledge graph in a graph database; Step S4: Identify the keywords input by the client, traverse the mobile business knowledge graph, and display it to the customer through a preset picture display template.

2. According to claim 1, a mobile operation platform business management method based on knowledge graph is characterized in that: The specific implementation process of describing and classifying the business data set in step S1 includes: By collecting logs, mobile service data is collected from the service center of the mobile operation platform to form a service data set, wherein the logs include service logs and associated service logs, wherein: all mobile service data are connected to the service center of the mobile operation platform through a unified data interface, the unified data interface adopts a standardized transmission protocol, and defines a unified data format; the mobile operation platform includes the client, WAP hall, network hall and terminal mall of the mobile business hall; Classify each mobile service data in the service data set to generate mobile service data graph categories; establish service data set types according to the mobile service data graph categories, wherein: the service data set types include recharge service data sets, traffic service data sets and heterogeneous commodity service data sets; Each business data set is described and classified through preset structured data, where structured data includes business entity data, attribute data and entity relationship data.

3. According to claim 2, a mobile operation platform business management method based on knowledge graph is characterized in that: The specific implementation process of extracting business information in step S2 includes: Business information is extracted from the structured data in each individual business data set, and business entity data, attribute data and entity relationship data in each business data set are extracted.

4. According to claim 3, a mobile operation platform business management method based on knowledge graph is characterized in that: The specific implementation process of generating the multi-dimensional mobile business knowledge graph in step S3 includes: Perform knowledge fusion on the entity relationship data between the corresponding businesses of each single business data set to generate a multi-dimensional mobile business knowledge graph, and store the multi-dimensional mobile business knowledge graph in a graph database, where the multi-dimensional dimensions include user dimension, specific business dimension and business carrier platform dimension; The knowledge fusion includes the relationship between various specific services preset by the system and associating the relevant users according to the relationship between various specific services preset; It also includes the automatic update of the multi-dimensional mobile business knowledge graph when the administrator enters a new business according to the authority; or the automatic update of the multi-dimensional mobile business knowledge graph when a business change is detected.

5. A mobile operation platform business management method based on knowledge graph according to claim 4, characterized in that: The specific implementation process of the client service display in step S4 includes: Obtain keywords input by the client of the mobile operation platform, identify the keywords and similar words to the keywords; send the identified keywords and similar words to the mobile business knowledge graph for traversal, and display them to the customer through a preset picture display template, wherein: the picture display template is used to display the interface logic rules of the specific business, and the interface logic rules are to select the specific business associated with it for priority display based on the relationship between business entities.

6. A business management system for a mobile operation platform business management method based on a knowledge graph according to any one of claims 1 to 5, characterized in that: The system includes a data acquisition module, a data extraction module, a knowledge fusion module and a query input module; The data acquisition module includes a collection unit and a description unit, wherein the collection unit is used to obtain mobile service data to form a service data set; the description unit is used to perform a structured description on each service data set; The data extraction module is used to extract business information from the structured data in each individual business data set, and extract the business entity data, attribute data and entity relationship data in each business data set; The knowledge fusion module includes a graph unit and a storage unit, wherein the graph unit is used to fuse entity relationships in a business data set to generate a multi-dimensional business knowledge graph; the storage unit is used to store the mobile business knowledge graph in a graph database; The query input module includes an identification unit and a business display unit. The identification unit is used to identify the keywords and similar words of the keywords according to the keywords input by the client of the mobile operation platform; the business display unit is used to send the identified keywords and similar words to the mobile business knowledge graph for traversal, and display them to customers through a preset picture display template.

7. A mobile operation platform business management method based on knowledge graph according to claim 6, characterized in that: The data acquisition module includes a collection unit and a description unit: The collection unit establishes a unified data interface on the mobile operation platform, the unified data interface adopts a standardized transmission protocol, and defines a unified data format, obtains business log information and related business logs through a unified gateway access, extracts mobile business data of the mobile operation platform, and forms a business data set, wherein: all mobile business data are accessed to the business center of the mobile operation platform through a unified data interface; the mobile operation platform includes the client, WAP hall, network hall and terminal mall of the mobile business hall; The description unit generates mobile business data graph categories by classifying each mobile business data in the business data set; establishes business data set types according to the mobile business data graph categories, wherein: the business data set includes a recharge business data set, a traffic business data set and a cross-industry commodity business data set; and describes and classifies each business data set through preset structured data.

8. According to claim 7, a method for managing mobile operation platform services based on knowledge graph, characterized in that: The data extraction module extracts business information from the structured data in each individual business data set, and extracts the business entity data, attribute data and entity relationship data in each business data set.

9. A mobile operation platform business management method based on knowledge graph according to claim 8, characterized in that: The knowledge fusion module includes a graph unit and an update unit: The graph unit performs knowledge fusion on entity relationship data between services corresponding to each single service data set, wherein the knowledge fusion includes the relationship between specific services preset by the system and the association of relevant users according to the relationship between specific services preset, generates a multi-dimensional mobile service knowledge graph, and stores the multi-dimensional mobile service knowledge graph in a graph database, wherein: the multi-dimensionality includes user dimension, specific service dimension and service carrier platform dimension; The updating unit automatically updates the multi-dimensional mobile business knowledge graph when the administrator inputs a new business according to the authority; or automatically updates the multi-dimensional mobile business knowledge graph when a business change is detected.

10. A mobile operation platform business management method based on knowledge graph according to claim 9, characterized in that: The query input module includes an identification unit and a business display unit: The identification unit obtains the keyword input by the client of the mobile operation platform and identifies the keyword and similar words to the keyword; The business display unit is used to send the identified keywords and similar words to the mobile business knowledge graph for traversal, and display them to customers through a preset picture display template, wherein: the picture display template is used to display the interface logic rules of the specific business, and the interface logic rules are to select the specific business associated with it to be displayed first according to the relationship between business entities.

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