CN115358880A - Insurance business information processing method and device based on knowledge graph - Google Patents
Insurance business information processing method and device based on knowledge graph Download PDFInfo
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Abstract
The insurance service information processing method and device based on the knowledge graph can acquire insurance service information to be processed; establishing a relation map of the agent information, a relation map of the client information and a relation map of the policy information; and the relation map of the agent information, the relation map of the client information and the relation map of the policy information are associated in a side mode to establish the relation map of the insurance business information. When insurance business information is stored, agent information, client information and insurance policy information in the insurance business information are stored in a point mode respectively, all information is correlated in a side mode, a relation map which simultaneously contains the insurance business information and the relation among all information is established, the required information points and sides can be directly utilized for complex query, extremely fast correlation expansion response is realized, complex and slow connection of multiple tables is avoided, and powerful data support is provided for insurance marketing business.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for processing insurance business information based on a knowledge graph.
Background
In insurance business, agent information, policy information, and customer information are the most important information. In a traditional relational database, only agent information, policy information and customer information are stored in a point mode, the relation among nodes cannot be embodied, and the time required for inquiring is long.
The knowledge-graph technology is one of the advanced artificial intelligence development fields in recent years, describes concept entities and relationships thereof in the objective world in a structured form, and provides the capability of better organizing, managing and understanding mass heterogeneous information.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for processing insurance business information based on a knowledge graph, so as to solve the above existing technical problems.
In a first aspect, an embodiment of the present invention provides a method for processing insurance service information based on a knowledge graph, where the method includes: acquiring insurance service information to be processed; the insurance service information includes: agent information, customer information, and policy information; associating the membership information and the agent organization information in the agent information with the agent in a side mode by taking the agent in the agent information as a central node, and establishing a relational graph of the agent information; the additional member information comprises an agent manager and an agent additional member; taking natural person information in the customer information as a central node, associating other natural person information and family information in the customer information with the natural person information in a side mode, and establishing a relation map of the customer information; taking the policy in the policy information as a central node, associating the security state and the risk information in the policy information with the policy in a side mode, and establishing a relation graph of the policy information; and the relation map of the agent information, the relation map of the client information and the relation map of the policy information are associated in a side mode to establish the relation map of the insurance business information.
Further, wherein the other natural persons include an applicant and an applicant, and the associating the other natural person information and the family information in the customer information with the natural person information in a side-by-side manner comprises: the applicant and the insured person are respectively associated with the natural person information in the client information in a side mode, and the applicant and the insured person are associated in a side mode.
Further, wherein the insurance information in the policy information further includes the insurance product information and the insurance claim settlement information, and the associating the insurance information and the policy state in the policy information with the policy in a side manner includes: the policy state in the policy information is associated with the policy in a side mode, the risk species in the policy information is associated with the policy in a side mode, and the risk species product information and the risk species claim settlement information corresponding to the risk species are associated with the risk species in a side mode.
Further, when receiving a service information extraction request carrying target agent information, searching a target relation map of insurance service information corresponding to the target agent information, and returning a service information extraction response message to a sender of the service information extraction request according to the target relation map; wherein, the service information extraction response message carries all or part of the information corresponding to the target relationship map.
Further, the returning of the service information extraction response message to the sender of the service information extraction request according to the target relationship graph comprises:
when the service information extraction request is a request aiming at policy information, determining a policy in the policy information corresponding to the target agent according to the target relation map, wherein the policy information comprises dangerous case information and a policy state; and generating a service information extraction response message carrying policy information corresponding to the target agent, and returning the service information extraction response message to the sender of the service information extraction request.
Further, the returning of the service information extraction response message to the sender of the service information extraction request according to the target relationship graph further comprises: when the service information extraction request is a request aiming at the customer information, determining the natural person information in the customer information corresponding to the target agent according to the target relation map, wherein the customer information comprises other natural person information and family information; and generating a service information extraction response message carrying policy information corresponding to the target agent, and returning the service information extraction response message to the sender of the service information extraction request.
Further, the returning of the service information extraction response message to the sender of the service information extraction request according to the target relationship graph further includes: when the service information extraction request is a request for the member adding information in the agent information, determining an agent manager and an agent member adding person in the member adding information corresponding to the target agent according to the target relation map; and generating a service information extraction response message carrying policy information corresponding to the target agent, and returning the service information extraction response message to the sender of the service information extraction request.
In a second aspect, an embodiment of the present invention provides an insurance business relation map generating apparatus, where the apparatus includes: the acquisition module is used for acquiring insurance business information to be processed; the insurance business information includes: agent information, customer information, and policy information; the agent information module is used for associating the agent information and the agent organization information in the agent information with the agent in a side mode by taking the agent in the agent information as a central node, and establishing a relationship map of the agent information; the additional member information comprises an agent manager and an agent additional member; the client information module is used for associating other natural person information and family information in the client information with the natural person information in a side mode by taking the natural person information in the client information as a central node, and establishing a relationship map of the client information; the policy information module is used for associating the security policy information and the security policy state in the policy information with the policy in a side mode by taking the policy in the policy information as a central node, and establishing a relational graph of the policy information; and the insurance business information module is used for associating the relation map of the agent information, the relation map of the client information and the relation map of the policy information in a side mode to establish the relation map of the insurance business information.
In a third aspect, an embodiment of the present invention provides an electronic device, which is characterized by including a processor and a memory, where the memory stores computer-executable instructions capable of being executed by the processor, and the processor executes any one of the methods described above.
Further, a computer-readable storage medium has stored therein computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the method described above.
The embodiment of the invention has the following beneficial effects:
the insurance business information processing method based on the knowledge graph can acquire insurance business information to be processed; the insurance service information includes: agent information, customer information, and policy information; establishing a relation map of the agent information, a relation map of the client information and a relation map of the policy information; and the relation map of the agent information, the relation map of the client information and the relation map of the insurance policy information are associated in a side mode to establish the relation map of the insurance business information. When the insurance business information is stored, the agent information, the client information and the policy information in the insurance business information are respectively stored in a point mode, and each information is associated in a side mode, and a relation map which simultaneously contains the relationship between the insurance business information and each information is established.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the above-described technology of the disclosure.
In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art 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 can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for processing insurance service information based on a knowledge-graph according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a relationship graph of agent information according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a relationship graph of customer information according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a relationship map of policy information according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a relationship map of insurance service information according to an embodiment of the present invention;
fig. 6 is a flowchart of another insurance service information processing method according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an insurance service information processing apparatus according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the insurance business, agent information, policy information, and customer information are the most important information. In a conventional relational database, agent information, policy information, and customer information are the most important information in insurance business. In a traditional relational database, only agent information, policy information and customer information are stored in a point mode, the relation among nodes cannot be embodied, and the time required for inquiring is long. As one of the leading artificial intelligence development fields in recent years, the knowledge-graph technology describes concept entities and their relationships in the objective world in a structured form, and provides an ability to better organize, manage and understand a large amount of heterogeneous information. In insurance business, agent information, policy information, and customer information are the most important information. Therefore, the complex query can be directly carried out by using the required nodes and edges, the extremely fast association expansion response is realized, the complex and slow connection of a plurality of tables is avoided, the fast response of deep association of more than 6 layers can be realized, and the powerful data support is provided for the insurance marketing business.
In order to facilitate understanding of the embodiment, a method for processing insurance business information based on a knowledge graph disclosed in the embodiment of the present invention is first described in detail.
The embodiment of the invention provides a processing method of insurance business information based on a knowledge graph, which is a flow chart of the processing method of insurance business information based on the knowledge graph shown in figure 1, and the method comprises the following steps:
step S102, acquiring insurance business information to be processed; the insurance service information includes: agent information, customer information, and policy information;
in practical application, insurance business information needing to be processed can be obtained according to a preset insurance business database, and corresponding agent information, client information and policy information at the position are extracted from each insurance business information.
Step S104, associating the membership information and the agent organization information in the agent information with the agent in a side mode by taking the agent in the agent information as a central node, and establishing a relational graph of the agent information; the additional member information comprises an agent manager and an agent additional member person;
in practical application, in the process of establishing the relationship graph of the agent information, the member adding information and the agent organization information in the agent information can be associated with the agent in a side mode, wherein the agent organization information is expressed as an agent team where the agent is located.
Fig. 2 shows a schematic structural diagram of a relationship graph of agent information, and as shown in fig. 2, the following association modes may be specifically established: agent-agent team-agent: in the association mode, an agent team where the agent team is located can be obtained through any agent, and then all agent information of the agent team is obtained; agent-agent manager: in the association mode, the agent managers can be associated through directed edges pointing to the agent nodes; agent-agent person-adding: in this way, the agent can be associated with the additional person by a directed edge pointing to the agent node itself. The association manner is a preferred scheme provided in this embodiment, and other association manners capable of achieving the purpose of the present application may also be adopted, and here, the type of the specific association manner is not particularly limited.
Step S106, taking the natural person information in the customer information as a central node, associating other natural person information and family information in the customer information with the natural person information in a side mode, and establishing a relation graph of the customer information;
specifically, the other natural persons may include an applicant and an applicant, and the associating the other natural person information and the family information in the customer information with the natural person information in a side-by-side manner includes: the applicant and the insured person are respectively associated with the natural person information in the client information in a side mode, and the applicant and the insured person are associated in a side mode.
In practical application, the natural person information may be used as a natural person node, and other natural person information and family information in the customer information may be associated with the natural person information in a side manner, and fig. 3 shows a structural schematic diagram of a relationship graph of the customer information, and as shown in fig. 3, the following association manners may be specifically established: natural person-family-natural person: in the association mode, all family members can be found through the information of the natural people, and the family members are obtained as the information of the natural people; policyholder-natural person-family-natural person: in the association mode, the applicant can acquire the information of the family as the natural person, find all family members and acquire the information of the family members as the natural person; insured-natural person-family-natural person: in the association mode, the insured person can acquire the information of the natural person as the natural person, all family members are found, and the information of the family members as the natural person is acquired. The association manner is a preferred scheme provided by this embodiment, and other association manners capable of achieving the purpose of the present application may also be adopted, and herein, no particular limitation is imposed on the type of the specific association manner.
Step S108, taking the policy in the policy information as a central node, associating the security state and the dangerous species information in the policy information with the policy in a side mode, and establishing a relational graph of the policy information;
specifically, the information on the dangerous species in the policy information further includes information on a dangerous species product and information on a dangerous species claim, and the associating the information on the dangerous species and the policy state in the policy information with the policy in a side-by-side manner includes: the policy state in the policy information is associated with the policy in a side mode, the risk species in the policy information is associated with the policy in a side mode, and the risk species product information and the risk species claim settlement information corresponding to the risk species are associated with the risk species in a side mode.
In practical applications, the policy state in the policy information may be associated with the policy in a side-by-side manner, the risk species in the policy information may be associated with the policy in a side-by-side manner, and the information of the risk species product and the information of the claim for the risk species corresponding to the risk species may be associated with the risk species in a side-by-side manner, as shown in fig. 4, a structural diagram of a relationship map of policy information is shown, and as shown in fig. 4, the following association manners may be specifically established: policy-policy state: in the association mode, the policy state can be obtained through the policy; policy-risk species-product: in the association mode, the dangerous species and the product type corresponding to the dangerous species can be obtained through the insurance policy; policy-risk-claim: in the association mode, the insurance risk and the claim settlement information corresponding to the insurance risk can be obtained through the insurance policy; policy-policy status-risk species-product: in the association mode, the policy state, the dangerous species and the product corresponding to the dangerous species can be obtained through the policy; policy-policy status-risk category-claim: in the association mode, the policy state, the dangerous species and the claim settlement information corresponding to the dangerous species can be obtained through the policy. The association manner is a preferred scheme provided by this embodiment, and other association manners capable of achieving the purpose of the present application may also be adopted, and herein, no particular limitation is imposed on the type of the specific association manner.
And step S110, the relation map of the agent information, the relation map of the client information and the relation map of the insurance policy information are associated in a side mode to establish the relation map of the insurance business information.
In practical application, the relationship map of the agent information, the relationship map of the customer information and the relationship map of the insurance policy information can be associated in a side manner to establish the relationship map of the insurance business information. Fig. 5 is a schematic structural diagram illustrating a relationship graph of insurance business information based on a knowledge graph, and as shown in fig. 5, the relationship graph of agent information and the relationship graph of customer information are associated as follows: agent-natural person: wherein the agent acts as a natural person; the relationship between the relationship map of the agent information and the relationship map of the policy information is as follows: agent-policy: wherein the agent is a policy of a service person or a signing person; the connection of the relationship map of the customer information and the relationship map of the policy information is as follows: natural person-other natural person-policy: wherein his natural person may be the applicant or the applicant, among others.
After the relationship graph of the insurance service information is successfully associated, all information in the relationship graph can be obtained from any node.
After the established relation map of insurance service information is obtained, complex service logic data can be extracted from nodes and edges, the maximum level can reach 6, and extremely fast association expansion response can be realized. When the insurance business information is stored, the agent information, the client information and the policy information in the insurance business information are respectively stored in a point mode, and all the information is associated in a side mode, and a relationship map which simultaneously contains the relationship between the insurance business information and all the information is established.
Fig. 6 is a flowchart illustrating another method for processing insurance business information based on a knowledge-graph, which is implemented on the basis of the method for processing insurance business information based on a knowledge-graph illustrated in fig. 1, and as illustrated in fig. 6, the method includes the following steps:
step S602, acquiring insurance business information to be processed; the insurance service information includes: agent information, customer information, and policy information;
step S604, associating the membership information and the organization information of the agent with the agent in a side mode by using the agent in the agent information as a central node, and establishing a relational graph of the agent information; the additional member information comprises an agent manager and an agent additional member;
step S606, with the natural person information in the customer information as a central node, associating other natural person information and family information in the customer information with the natural person information in a side manner, and establishing a relation graph of the customer information;
step S608, taking the policy in the policy information as a central node, associating the security state and the risk information in the policy information with the policy in a side manner, and establishing a relational graph of the policy information;
and step S610, the relation map of the agent information, the relation map of the client information and the relation map of the policy information are associated in a side mode, and the relation map of the insurance business information is established.
Step S612, when receiving a service information extraction request carrying target agent information, searching a target relation map of insurance service information corresponding to the target agent information, and returning a service information extraction response message to a sender of the service information extraction request according to the target relation map; wherein, the service information extraction response message carries all or part of information corresponding to the target relation map;
specifically, the step of returning a service information extraction response message to a sender of the service information extraction request according to the target relationship graph comprises the following steps A1-A6:
a1, when a service information extraction request is a request aiming at policy information, determining a policy in the policy information corresponding to a target agent according to a target relation map, wherein the policy information comprises dangerous information and a policy state;
and step A2, generating a service information extraction response message carrying policy information corresponding to the target agent, and returning the service information extraction response message to the sender of the service information extraction request.
Step A3, when the service information extraction request is a request aiming at the customer information, determining the natural person information in the customer information corresponding to the target agent according to the target relation map, wherein the customer information comprises other natural person information and family information;
and step A4, generating a service information extraction response message carrying policy information corresponding to the target agent, and returning the service information extraction response message to the sender of the service information extraction request.
Step A5, when the service information extraction request is a request aiming at the membership information in the representative information, determining a representative manager and a representative membership adding person in the membership information corresponding to the target representative according to the target relation map;
and step A6, generating a service information extraction response message carrying policy information corresponding to the target agent, and returning the service information extraction response message to a sender of the service information extraction request.
Specifically, the extraction response mode is as follows:
agent-natural person-family-natural person-insured-policy-dangerous species-product: the family members can be found according to the agent, and the insurance policy as the applicant corresponds to the product information of the dangerous species, wherein one insurance policy has a plurality of dangerous species.
Agent-member-nature-family-nature-agent: according to the additional member agents of the agents, the family members can be found to be used as the agents, and information is extracted.
Agent-member-nature-family-nature-applicant-policy-risk-breed-claim: the method can be used as the claim settlement information of the insurance policy corresponding to the dangerous species of the policyholder according to the family members of the members-increasing agent of the agent.
Agent-member-natural person-insured-policy-agent: the agent can find the agent of the added member as the policy of the insured person, and the information of the agent serving the policy, namely the association relationship is the agent-policy, which is the policy served by the agent.
Agent-team-agent-nature-family-nature-applicant-policy: all agents belonging to the agent team can be found according to the agents, and corresponding family members serve as policy information of the applicant/insured life.
Policyholder-nature person-family-nature person-policyholder/policyholder-policy-dangerous-species-product: the insurance policy of the family member as the insurant/insured person can be found according to the insurant, and the insurance policy corresponds to the product information of the dangerous species.
Policy-applicant-nature-family-nature-agent team: the information of the affiliated agent team whose family members act as agents can be found by the applicant of the policy.
Policy-agent team-agent-natural person-throw/insured-policy: other agents of the agent team can be found according to the service agent to which the policy belongs as policy information of the applicant/insured person.
As to the above method embodiment, an embodiment of the present invention provides a processing apparatus of insurance service information, and as shown in fig. 7, the processing apparatus of insurance service information includes:
an obtaining module 701, configured to obtain insurance service information to be processed; the insurance service information includes: agent information, customer information, and policy information;
the agent information module 702 is configured to associate agent organization information and agent membership information in the agent information with an agent in a side manner by using the agent in the agent information as a central node, and establish a relationship graph of the agent information; the additional member information comprises an agent manager and an agent additional member person;
the customer information module 703 is configured to associate, with natural person information in the customer information in a side manner, other natural person information and family information in the customer information with the natural person information by using the natural person information in the customer information as a central node, and establish a relationship graph of the customer information;
the policy information module 704 is configured to associate the security policy information and the security policy state in the policy information with the policy in a side manner by using the policy in the policy information as a central node, and establish a relational graph of the policy information;
the insurance business information module 705 is configured to associate the relationship map of the agent information, the relationship map of the customer information, and the relationship map of the policy information in a side manner, and establish the relationship map of the insurance business information.
An embodiment of the present invention further provides an electronic device, as shown in fig. 8, which is a schematic structural diagram of the electronic device, where the electronic device includes a processor 81 and a memory 82, the memory 82 stores machine executable instructions that can be executed by the processor 81, and the processor 81 executes the machine executable instructions to implement the discrete graphics combining method.
In the embodiment shown in fig. 8, the electronic device further comprises a bus 83 and a communication interface 84, wherein the processor 81, the communication interface 84 and the memory 82 are connected by the bus.
The Memory 82 may include a Random Access Memory (RAM) and a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 84 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used. The bus may be an ISA bus, a PCI bus, an EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 8, but that does not indicate only one bus or one type of bus.
The processor 81 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 81. The Processor 81 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory, and the processor 81 reads the information in the memory 82, and completes the steps of the discrete pattern combination method of the foregoing embodiment in combination with the hardware thereof.
Embodiments of the present invention further provide a machine-readable storage medium, where the machine-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are called and executed by a processor, the machine-executable instructions cause the processor to implement the discrete graph combination method, and specific implementation may refer to the foregoing method embodiments, and is not described herein again.
The discrete pattern combination method, the discrete pattern combination apparatus, and the computer program product of the electronic device provided in the embodiments of the present invention include a computer-readable storage medium storing program codes, where instructions included in the program codes may be used to execute the discrete pattern combination method described in the foregoing method embodiments, and specific implementations may refer to the method embodiments, which are not described herein again.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: those skilled in the art can still make modifications or changes to the embodiments described in the foregoing embodiments, or make equivalent substitutions for some features, within the scope of the disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A method for processing insurance business information based on knowledge graph, the method comprising:
acquiring insurance service information to be processed; the insurance service information includes: agent information, customer information, and policy information;
associating agent information and agent organization information in the agent information with the agent in a side mode by taking the agent in the agent information as a central node, and establishing a relation graph of the agent information; the member adding information comprises an agent manager and an agent member adding person;
taking natural person information in the customer information as a central node, associating other natural person information and family information in the customer information with the natural person information in a side manner, and establishing a relationship graph of the customer information;
taking a policy in policy information as a central node, associating risk information and policy state in the policy information with the policy in a side mode, and establishing a relational graph of the policy information;
and associating the relation map of the agent information, the relation map of the customer information and the relation map of the insurance policy information in a side mode to establish the relation map of the insurance business information.
2. The method of claim 1, wherein the other natural persons include an applicant and an applicant, and wherein the associating other natural person information and family information in the customer information with the natural person information in a side-by-side manner comprises:
and respectively associating the applicant and the policyholder with the natural person information in the client information in a side mode, and associating the applicant and the policyholder in a side mode.
3. The method according to claim 1, wherein the information for an emergency seed in the policy information further comprises information for an emergency seed product and information for an emergency seed claim, the associating the information for an emergency seed and the policy status in the policy information marginally with the policy comprising:
and associating policy states in the policy information with the policy in a side-by-side manner, associating dangerous species in the policy information with the policy in a side-by-side manner, and associating dangerous species product information corresponding to the dangerous species and the dangerous species claim information with the dangerous species in a side-by-side manner.
4. The method of claim 1, further comprising:
when receiving a service information extraction request carrying target agent information, searching a target relation map of insurance service information corresponding to the target agent information, and returning a service information extraction response message to a sender of the service information extraction request according to the target relation map; wherein, the service information extraction response message carries all or part of the information corresponding to the target relationship map.
5. The method of claim 4, wherein returning a service information extraction response message to the sender of the service information extraction request according to the target relationship graph comprises:
when the service information extraction request is a request aiming at policy information, determining the policy in the policy information corresponding to the target agent according to the target relation map, wherein the policy information comprises dangerous case information and a policy state;
and generating a service information extraction response message carrying policy information corresponding to the target agent, and returning the service information extraction response message to a sender of the service information extraction request.
6. The method of claim 4, wherein returning a service information extraction response message to the sender of the service information extraction request according to the target relationship graph further comprises:
when the service information extraction request is a request for client information, determining the natural person information in the client information corresponding to the target agent according to the target relation graph, wherein the client information comprises the other natural person information and the family information;
and generating a service information extraction response message carrying policy information corresponding to the target agent, and returning the service information extraction response message to a sender of the service information extraction request.
7. The method of claim 4, wherein returning a service information extraction response message to the sender of the service information extraction request according to the target relationship graph further comprises:
when the service information extraction request is a request aiming at the member adding information in the member information, determining a member adding manager and a member adding person in the member adding information corresponding to the target member according to the target relation map;
and generating a service information extraction response message carrying policy information corresponding to the target agent, and returning the service information extraction response message to a sender of the service information extraction request.
8. An insurance business relationship map generating apparatus, the apparatus comprising:
the acquisition module is used for acquiring insurance business information to be processed; the insurance service information includes: agent information, customer information, and policy information;
the agent information module is used for associating the agent information and the agent organization information in the agent information with the agent in a side mode by taking the agent in the agent information as a central node, and establishing a relation graph of the agent information; the additional member information comprises an agent manager and an agent additional member;
the customer information module is used for associating other natural person information and family information in the customer information with the natural person information in a side mode by taking the natural person information in the customer information as a central node, and establishing a relation graph of the customer information;
the policy information module is used for associating the security information and the security state in the policy information with the policy in a side mode by taking the policy in the policy information as a central node, and establishing a relational graph of the policy information;
and the insurance business information module is used for associating the relation map of the agent information, the relation map of the customer information and the relation map of the policy information in a side mode to establish the relation map of the insurance business information.
9. An electronic device comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the method of claims 1-7.
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| CN202211115840.3A CN115358880A (en) | 2022-09-14 | 2022-09-14 | Insurance business information processing method and device based on knowledge graph |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117710113A (en) * | 2023-11-17 | 2024-03-15 | 中国人寿保险股份有限公司山东省分公司 | Abnormal insurance application behavior identification method and system based on legal person business knowledge graph |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117710113A (en) * | 2023-11-17 | 2024-03-15 | 中国人寿保险股份有限公司山东省分公司 | Abnormal insurance application behavior identification method and system based on legal person business knowledge graph |
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