Home relation chain upgrading method and system based on Neo4j graph data

Abstract

The invention discloses a home relation chain upgrading method and system based on Neo4j graph data, and belongs to the technical field of graph databases, and the method comprises the following steps: home relation modeling, visualization and interaction of a dynamic home network, efficient relation query and analysis, data security and privacy protection, and performance optimization. According to the method, a family relationship chain is effectively constructed and maintained by utilizing a Neo4j graph database, a complex family relationship is accurately expressed as nodes and relationships, a data model is ensured to be flexible and easy to expand, and the system also has the functions of visualization and interaction of a dynamic family network, efficient relationship query and analysis, data security, privacy protection and the like, and is suitable for being popularized and applied. More convenient and efficient family information management service can be provided for family members, and learning interaction among the family members is promoted.

Description

Technical Field

[0001] The present invention belongs to the technical field of graph databases, and in particular relates to a family relationship chain upgrading method and system based on Neo4j graph data. Background Art

[0002] With the development of society, the importance of family education has become increasingly prominent. The family is not only a child's first school but also the primary place where they receive education and influence. Within the family, children receive education and influence from their parents and other family members. This education can stimulate children's learning and cultivate their interest and abilities. To better manage family education, many families are beginning to use various family relationship management tools and technologies.

[0003] While existing family relationship management tools and technologies can generally meet the information exchange and management needs of family members, they lack significant capabilities in handling complex family relationships and providing an efficient learning and interactive experience. Traditional family relationship management tools typically use relational databases to store family relationship data, which makes it difficult to effectively represent and query complex relationship data. Furthermore, existing family relationship management tools lack dynamic visualization and interactive features, making it difficult for users to conveniently view and edit family relationship network diagrams, nor can they reflect these changes in real time.

[0004] In order to solve these problems, the present invention proposes a family relationship chain upgrade method and system based on Neo4j graph data. Neo4j graph database is a very popular graph database that provides powerful and stable graph storage and graph query functions. It is widely used in the field of knowledge graph applications, and search servers are often used to provide support for the search services of application systems. By utilizing the Neo4j graph database, the present invention can effectively build and maintain family relationship chains, accurately represent complex family relationships as nodes and relationships, and ensure that the data model is both flexible and easy to expand. In addition, the present invention also provides functions such as visualization and interaction of dynamic family networks, efficient relationship query and analysis, data security and privacy protection, etc., aiming to provide family members with more convenient and efficient family information management services and promote learning and interaction among family members. Summary of the Invention

[0005] The purpose of the present invention is to provide a family relationship chain upgrade method and system based on Neo4j graph data to address the shortcomings of existing family relationship management tools in handling complex family relationships and providing an efficient learning and interactive experience.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for upgrading a family relationship chain based on Neo4j graph data includes the following steps:

[0008] a. Family relationship modeling: Utilize the Neo4j graph database to effectively build and maintain family relationship chains, accurately representing complex family relationships as nodes and relationships, ensuring that the data model is both flexible and easily extensible;

[0009] Define node types, including but not limited to family members, family relationships, learning resources, etc.;

[0010] Define relationship types, including but not limited to parent-child, husband-wife, teacher-student, etc.;

[0011] Add attributes to nodes and relationships, including but not limited to name, age, gender, learning progress, etc.;

[0012] b. Dynamic family network visualization and interaction: Design and implement an intuitive and dynamic family relationship network view. Users can easily view, add, and edit family members and their relationships through the interface, and these changes can be reflected in real time, improving the learning and interactive experience among family members.

[0013] Update the family relationship network diagram in real time to reflect the user's operations;

[0014] c. Efficient relationship query and analysis: Using the Cypher query language and optimized query algorithms, we can quickly retrieve specific learning paths, role relationships, and influence transmission chains among family members, enabling targeted delivery of educational resources and family education strategies.

[0015] Use Cypher query language to write efficient query statements;

[0016] Optimize query algorithms to improve query speed;

[0017] Provides multiple query methods, including but not limited to query by relationship type, query by node attribute, etc.

[0018] d. Data security and privacy protection: While implementing the above functions, we also consider the security and privacy of user data and design a reasonable permission control mechanism to ensure that sensitive information among family members is effectively protected and prevent unauthorized access and leakage;

[0019] Design permission control mechanisms to ensure that only authorized users can access and modify family relationship data;

[0020] Encrypt sensitive information to prevent data leakage;

[0021] Record user operation logs for easy tracking and auditing;

[0022] e. Performance Optimization: As family relationship data grows, necessary index optimization and caching strategy design are performed to ensure query efficiency and system response speed, especially when processing large-scale home networks.

[0023] Add indexes to fields in database tables that need to be frequently queried, sorted, or filtered to improve query speed;

[0024] Use load balancing technology to distribute traffic to different backend services and expand the service throughput capacity of the application system;

[0025] Use circuit breaker and current limiting technologies to prevent system overload and cascading failures.

[0026] The present invention also provides a family relationship chain upgrade system based on Neo4j graph data, including the following modules:

[0027] Family relationship modeling module: used to effectively build and maintain family relationship chains using the Neo4j graph database, accurately representing complex family relationships as nodes and relationships;

[0028] Node type definition submodule: used to define node types, including but not limited to family members, family relationships, learning resources, etc.

[0029] Relationship type definition submodule: used to define relationship types, including but not limited to parent-child relationship, husband-wife relationship, teacher-student relationship, etc.

[0030] Attribute management submodule: used to add attributes to nodes and relationships, including but not limited to name, age, gender, learning progress, etc.;

[0031] Dynamic family network visualization and interaction module: used to design and implement an intuitive and dynamic family relationship network view, allowing users to easily view, add, and edit family members and their relationships through the interface, and these changes can be reflected in real time;

[0032] User interface design submodule: used to design an intuitive user interface to display the family relationship network diagram;

[0033] Interactive function submodule: used to provide interactive functions, allowing users to add, delete and edit family members and their relationships;

[0034] Real-time update submodule: used to update the family relationship network diagram in real time to reflect user operations;

[0035] Efficient relationship query and analysis module: This module uses the Cypher query language to optimize query algorithms and quickly retrieve specific learning paths, role relationships, and influence transmission chains among family members.

[0036] Query language submodule: used to write efficient query statements using Cypher query language;

[0037] Query optimization submodule: used to optimize query algorithms and improve query speed;

[0038] Multiple query method submodule: used to provide multiple query methods, including but not limited to query by relationship type, query by node attribute, etc.

[0039] Data security and privacy protection module: used to design a reasonable permission control mechanism to ensure that sensitive information between family members is effectively protected and prevent unauthorized access and leakage;

[0040] Permission control submodule: used to design permission control mechanisms to ensure that only authorized users can access and modify family relationship data;

[0041] Encryption processing submodule: used to encrypt sensitive information to prevent data leakage;

[0042] Logging submodule: used to record user operation logs for easy tracking and auditing;

[0043] Performance Optimization Module: This module is used to optimize indexes and design cache strategies to ensure query efficiency and system response speed as family relationship data grows, especially when dealing with large-scale home networks.

[0044] Index optimization submodule: used to add indexes to fields in database tables that need to be frequently queried, sorted, or filtered, thereby improving query speed;

[0045] Load balancing submodule: used to distribute traffic to different backend services using load balancing technology, thereby expanding the service throughput capacity of the application system;

[0046] Fusing and current limiting submodule: used to use fusing and current limiting technology to prevent system overload and cascading failures.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] 1. Flexible family relationship modeling: By leveraging the Neo4j graph database, the present invention can effectively build and maintain family relationship chains, accurately representing complex family relationships as nodes and relationships, ensuring that the data model is both flexible and easily extensible;

[0049] 2. Dynamic visualization and interaction: Design and implement an intuitive and dynamic family relationship network view. Users can easily view, add, and edit family members and their relationships through the interface, and these changes can be reflected in real time, improving the learning and interactive experience among family members.

[0050] 3. Efficient query and analysis: Using the Cypher query language and optimized query algorithms, we can quickly identify specific learning paths, role relationships, and influence transmission chains among family members, enabling targeted delivery of educational resources and family education strategies.

[0051] 4. Data security and privacy protection: Design a reasonable permission control mechanism to ensure that sensitive information among family members is effectively protected and prevent unauthorized access and leakage;

[0052] 5. Performance optimization: As family relationship data grows, necessary index optimization and cache strategy design are required to ensure query efficiency and system response speed, especially when dealing with large-scale home networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is the family relationship diagram in Neo4j of the present invention. DETAILED DESCRIPTION

[0054] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention but are not intended to limit the present invention.

[0055] Example 1

[0056] (1) Family relationship modeling

[0057] In this embodiment, the family relationship modeling module uses the Neo4j graph database to effectively build and maintain the family relationship chain. The specific steps are as follows:

[0058] 1. Define node types: Define node types, including but not limited to family members, family relationships, and learning resources. Family member nodes contain attributes such as name, age, gender, and learning progress; family relationship nodes contain attributes such as relationship type and relationship description; and learning resource nodes contain attributes such as resource name, resource type, and resource link.

[0059] 2. Define relationship types: Define relationship types, including but not limited to parent-child relationships, husband-wife relationships, and teacher-student relationships. A parent-child relationship is defined as the relationship between "father" and "son"; a husband-wife relationship is defined as the relationship between "husband" and "wife"; and a teacher-student relationship is defined as the relationship between "teacher" and "student."

[0060] 3. Add attributes to nodes and relationships: Add attributes to nodes and relationships, including but not limited to name, age, gender, and learning progress. Family member nodes include attributes such as name, age, gender, and learning progress; family relationship nodes include attributes such as relationship type and relationship description.

[0061] (2) Visualization and interaction of dynamic home networks

[0062] In this embodiment, the visualization and interaction module of the dynamic home network designs and implements an intuitive and dynamic family relationship network view. Users can easily view, add, and edit family members and their relationships through the interface, and these changes can be reflected in real time. The specific steps are as follows:

[0063] 1. User Interface Design: Design an intuitive user interface to display the family relationship network diagram. The user interface should include elements such as a list of family members, a relationship diagram, and action buttons.

[0064] 2. Provide interactive functions: Provide interactive functions that allow users to add, delete, and edit family members and their relationships. Users can add new family members by clicking the "Add Member" button; delete existing family members by clicking the "Delete Member" button; and edit the relationships between family members by clicking the "Edit Relationship" button.

[0065] 3. Real-time Updates: The family network diagram should be updated in real time to reflect user actions. When a user adds a new family member, the family network diagram should immediately display the new member; when a user deletes an existing family member, the family network diagram should immediately remove the member; when a user edits a relationship between family members, the family network diagram should immediately update the relationship map.

[0066] (3) Efficient relationship query and analysis

[0067] In this embodiment, the efficient relationship query and analysis module uses the Cypher query language to optimize the query algorithm and quickly retrieve specific learning paths, role relationships, and influence transmission chains among family members.

[0068] The specific steps are as follows:

[0069] 1. Write queries: Use the Cypher query language to write efficient queries. For example, write a query to find all direct relatives of a family member; write a query to find all learning resources for a family member; write a query to find the influence chain of a family member.

[0070] 2. Optimize query algorithms: Optimize query algorithms to increase query speed. Use index optimization techniques to speed up queries; use caching techniques to reduce the time spent on repeated queries.

[0071] 3. Provide multiple query methods: Provide multiple query methods, including but not limited to query by relationship type, query by node attribute, etc. Users can search for all parent-child relationships by selecting "parent-child relationship"; users can search for specific family members by entering "name".

[0072] (4) Data security and privacy protection

[0073] In this embodiment, the data security and privacy protection module is designed with a reasonable permission control mechanism to ensure that sensitive information between family members is effectively protected and prevent unauthorized access and leakage. The specific steps are as follows:

[0074] 1. Design a permission control mechanism: Design a permission control mechanism to ensure that only authorized users can access and modify family relationship data. Set different user roles, such as administrator, ordinary user, etc.; set different permission levels, such as read-only permission, read-write permission, etc.

[0075] 2. Encryption: Sensitive information is encrypted to prevent data leakage. Sensitive information such as family members' names and addresses is encrypted and stored using the AES encryption algorithm; data transmitted over the network is encrypted using the SSL / TLS protocol.

[0076] 3. Record user operation logs: Record user operation logs for easy tracking and auditing. Record the time, location, and operation content of user login, member addition, member deletion, relationship editing, and other operations.

[0077] (V) Performance Optimization

[0078] 1. In this embodiment, as family relationship data grows, the performance optimization module performs necessary index optimization and cache strategy design to ensure query efficiency and system response speed, especially when processing large-scale home networks. The specific steps are as follows:

[0079] 2. Index optimization: Add indexes to fields in database tables that require frequent querying, sorting, or filtering to improve query speed. Add indexes to fields such as family member name, age, and gender; and add indexes to fields such as family relationship type and description.

[0080] 3. Load Balancing: Use load balancing technology to distribute traffic to different backend services, expanding the application system's service throughput. Use load balancing software such as Nginx or HAProxy to distribute traffic; use cloud services such as Alibaba Cloud SLB to achieve load balancing.

[0081] 4. Circuit Breakers and Current Limiters: Use circuit breakers and current limiting techniques to prevent system overload and cascading failures. Use circuit breakers such as Hystrix to implement circuit breaking for service calls; use current limiters such as RateLimiter to limit the frequency of requests.

[0082] Example 2

[0083] (1) Family relationship modeling

[0084] In this embodiment, the family relationship modeling module uses the Neo4j graph database to effectively build and maintain the family relationship chain. The specific steps are as follows:

[0085] 1. Define node types: Define node types, including but not limited to family members, family relationships, and learning resources. Family member nodes contain attributes such as name, age, gender, and learning progress; family relationship nodes contain attributes such as relationship type and relationship description; and learning resource nodes contain attributes such as resource name, resource type, and resource link.

[0086] 2. Define relationship types: Define relationship types, including but not limited to parent-child relationships, husband-wife relationships, and teacher-student relationships. A parent-child relationship is defined as the relationship between "father" and "son"; a husband-wife relationship is defined as the relationship between "husband" and "wife"; and a teacher-student relationship is defined as the relationship between "teacher" and "student."

[0087] 3. Add attributes to nodes and relationships: Add attributes to nodes and relationships, including but not limited to name, age, gender, and learning progress. Family member nodes include attributes such as name, age, gender, and learning progress; family relationship nodes include attributes such as relationship type and relationship description.

[0088] (2) Visualization and interaction of dynamic home networks

[0089] In this embodiment, the visualization and interaction module of the dynamic home network designs and implements an intuitive and dynamic family relationship network view. Users can easily view, add, and edit family members and their relationships through the interface, and these changes can be reflected in real time. The specific steps are as follows:

[0090] 1. User Interface Design: Design an intuitive user interface to display the family relationship network diagram. The user interface should include elements such as a list of family members, a relationship diagram, and action buttons.

[0091] 2. Provide interactive functions: Provide interactive functions that allow users to add, delete, and edit family members and their relationships. Users can add new family members by clicking the "Add Member" button; delete existing family members by clicking the "Delete Member" button; and edit the relationships between family members by clicking the "Edit Relationship" button.

[0092] 3. Real-time Updates: The family network diagram should be updated in real time to reflect user actions. When a user adds a new family member, the family network diagram should immediately display the new member; when a user deletes an existing family member, the family network diagram should immediately remove the member; when a user edits a relationship between family members, the family network diagram should immediately update the relationship map.

[0093] (3) Efficient relationship query and analysis

[0094] In this embodiment, the efficient relationship query and analysis module uses the Cypher query language to optimize the query algorithm and quickly retrieve specific learning paths, role relationships, and influence transmission chains among family members.

[0095] The specific steps are as follows:

[0096] 1. Write queries: Use the Cypher query language to write efficient queries. For example, write a query to find all direct relatives of a family member; write a query to find all learning resources for a family member; write a query to find the influence chain of a family member.

[0097] 2. Optimize query algorithms: Optimize query algorithms to increase query speed. Use index optimization techniques to speed up queries; use caching techniques to reduce the time spent on repeated queries.

[0098] 3. Provide multiple query methods: Provide multiple query methods, including but not limited to query by relationship type, query by node attribute, etc. Users can search for all parent-child relationships by selecting "parent-child relationship"; users can search for specific family members by entering "name".

[0099] (4) Data security and privacy protection

[0100] In this embodiment, the data security and privacy protection module is designed with a reasonable permission control mechanism to ensure that sensitive information between family members is effectively protected and prevent unauthorized access and leakage. The specific steps are as follows:

[0101] 1. Design a permission control mechanism: Design a permission control mechanism to ensure that only authorized users can access and modify family relationship data. Set different user roles, such as administrator, ordinary user, etc.; set different permission levels, such as read-only permission, read-write permission, etc.

[0102] 2. Encryption: Sensitive information is encrypted to prevent data leakage. Sensitive information such as family members' names and addresses is encrypted and stored using the AES encryption algorithm; data transmitted over the network is encrypted using the SSL / TLS protocol.

[0103] 3. Record user operation logs: Record user operation logs for easy tracking and auditing. Record the time, location, and operation content of user login, member addition, member deletion, relationship editing, and other operations.

[0104] (V) Performance Optimization

[0105] In this embodiment, as the family relationship data grows, the performance optimization module performs necessary index optimization and cache strategy design to ensure query efficiency and system response speed, especially when processing large-scale home networks. The specific steps are as follows:

[0106] 1. Index optimization: Add indexes to fields in database tables that require frequent querying, sorting, or filtering to improve query speed. Add indexes to fields such as family member name, age, and gender; and add indexes to fields such as family relationship type and description.

[0107] 2. Load Balancing: Use load balancing technology to distribute traffic to different backend services and expand the service throughput of the application system. Use load balancing software such as Nginx to distribute traffic; use cloud services such as Alibaba Cloud SLB to achieve load balancing.

[0108] 3. Circuit breaking and current limiting: Use circuit breaking and current limiting technologies to prevent system overload and cascading failures. Use circuit breakers such as Hystrix to implement circuit breaking for service calls; use current limiters such as RateLimiter to limit the frequency of requests.

[0109] The technical solutions provided by the embodiments of the present invention are introduced in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the embodiments of the present invention. The description of the above embodiments is only applicable to help understand the principles of the embodiments of the present invention. At the same time, for those skilled in the art, according to the embodiments of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

Claims

1. A family relationship chain upgrade method based on Neo4j graph data, characterized in that: The following steps are involved: a. Family relationship modeling: Utilize the Neo4j graph database to effectively build and maintain family relationship chains, accurately representing complex family relationships as nodes and relationships, ensuring that the data model is both flexible and easily extensible; b. Dynamic family network visualization and interaction: Design and implement an intuitive and dynamic family relationship network view. Users can easily view, add, and edit family members and their relationships through the interface, and these changes can be reflected in real time, improving the learning and interactive experience among family members. c. Efficient relationship query and analysis: Using the Cypher query language and optimized query algorithms, we can quickly retrieve specific learning paths, role relationships, and influence transmission chains among family members, enabling targeted delivery of educational resources and family education strategies. d. Data security and privacy protection: While implementing the above functions, we also consider the security and privacy of user data and design a reasonable permission control mechanism to ensure that sensitive information among family members is effectively protected and prevent unauthorized access and leakage; e. Performance optimization: As family relationship data grows, necessary index optimization and cache strategy design are required to ensure query efficiency and system response speed, especially when dealing with large-scale home networks.

2. A method for upgrading a family relationship chain based on Neo4j graph data according to claim 1, characterized in that: The visualization and interaction steps of the dynamic family network also include: designing an intuitive user interface to display the family relationship network diagram; providing interactive functions to allow users to add, delete and edit family members and their relationships; and updating the family relationship network diagram in real time to reflect user operations.

3. The method for upgrading a family relationship chain based on Neo4j graph data according to claim 1, characterized in that: The efficient relationship query and analysis steps also include: using the Cypher query language to write efficient query statements; optimizing the query algorithm to improve the query speed; and providing multiple query methods, including but not limited to querying by relationship type and querying by node attributes.

4. The method for upgrading a family relationship chain based on Neo4j graph data according to claim 1, characterized in that: The data security and privacy protection steps also include: designing an authority control mechanism to ensure that only authorized users can access and modify family relationship data; encrypting sensitive information to prevent data leakage; and recording user operation logs for easy tracking and auditing.

5. The method for upgrading a family relationship chain based on Neo4j graph data according to claim 1, characterized in that: The performance optimization steps also include: adding indexes to fields in the database table that need to be frequently queried, sorted, or filtered to improve query speed; using load balancing technology to distribute traffic to different back-end services to expand the service throughput capacity of the application system; using circuit breaking and current limiting technology to prevent system overload and cascading failures.

6. A family relationship chain upgrade system based on Neo4j graph data, characterized by: Includes the following modules: Family relationship modeling module: used to effectively build and maintain family relationship chains using the Neo4j graph database, accurately representing complex family relationships as nodes and relationships; Node type definition submodule: used to define node types, including but not limited to family members, family relationships, learning resources, etc. Relationship type definition submodule: used to define relationship types, including but not limited to parent-child relationship, husband-wife relationship, teacher-student relationship, etc. Attribute management submodule: used to add attributes to nodes and relationships, including but not limited to name, age, gender, learning progress, etc.; Dynamic family network visualization and interaction module: used to design and implement an intuitive and dynamic family relationship network view, allowing users to easily view, add, and edit family members and their relationships through the interface, and these changes can be reflected in real time; User interface design submodule: used to design an intuitive user interface to display the family relationship network diagram; Interactive function submodule: used to provide interactive functions, allowing users to add, delete and edit family members and their relationships; Real-time update submodule: used to update the family relationship network diagram in real time to reflect user operations; Efficient relationship query and analysis module: This module uses the Cypher query language to optimize query algorithms and quickly retrieve specific learning paths, role relationships, and influence transmission chains among family members. Query language submodule: used to write efficient query statements using Cypher query language; Query optimization submodule: used to optimize query algorithms and improve query speed; Multiple query method submodule: used to provide multiple query methods, including but not limited to query by relationship type, query by node attribute, etc. Data security and privacy protection module: used to design a reasonable permission control mechanism to ensure that sensitive information between family members is effectively protected and prevent unauthorized access and leakage; Permission control submodule: used to design permission control mechanisms to ensure that only authorized users can access and modify family relationship data; Encryption processing submodule: used to encrypt sensitive information to prevent data leakage; Logging submodule: used to record user operation logs for easy tracking and auditing; Performance Optimization Module: This module is used to optimize indexes and design cache strategies to ensure query efficiency and system response speed as family relationship data grows, especially when dealing with large-scale home networks. Index optimization submodule: used to add indexes to fields in database tables that need to be frequently queried, sorted, or filtered, thereby improving query speed; Load balancing submodule: used to distribute traffic to different backend services using load balancing technology, thereby expanding the service throughput capacity of the application system; Fusing and current limiting submodule: used to use fusing and current limiting technology to prevent system overload and cascading failures.

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