Mobile Terminal Human Network Management via Unified Schema Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional human network management technologies are limited in expressing various relationships and do not allow extension of social network data from websites to mobile terminals, making it difficult to manage and visualize acquaintances with multiple elements.
Innovation Solution
A method that maps and converts social network data from various platforms to a unified schema, enabling the visualization and management of human network relationships on mobile terminals, allowing for the extension and sharing of human network data, and integrating phonebook data with social network services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional human network management technology is used, then the system structure is simple, but the ability to express various relationships is limited
Solution Approach 1:
The patent segments the human network management system into multiple components: phonebook data module, social network data module, mapping module, and visualization module. Each component handles specific aspects of relationship management, allowing the system to express diverse relationships while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent creates a universal mapping schema that can represent multiple types of relationships (friend, colleague, family, etc.) using a common data structure. This universal approach allows the system to handle various relationship types without requiring separate specialized structures for each, thereby improving versatility while controlling complexity.
2Adaptability or versatility
If phonebook data is used alone, then the data structure is simple, but the social network service functionality is limited
Solution Approach 1:
The patent merges phonebook data and social network data into a unified human network management system. The mapping module combines information from both data sources, creating an integrated view that enables comprehensive social network services while leveraging the simplicity of existing phonebook structures.
Solution Approach 2:
The patent introduces a mapping module as an intermediary between phonebook data and social network data. This mediator translates and aligns the two different data formats, enabling functional integration without requiring complete restructuring of either data source, thus enhancing functionality while managing complexity.
3Adaptability or versatility
If social network data from multiple platforms is integrated, then the comprehensiveness of human network data is improved, but the data integration complexity increases
Solution Approach 1:
The patent employs a universal mapping schema that can accommodate data from multiple social network platforms through a common interface. This universal structure allows comprehensive data integration while avoiding the complexity of implementing separate integration logic for each platform, as the mapping module handles platform-specific variations through standardized transformation rules.
4Adaptability or versatility
If conventional relationship management is used, then the operation is simple, but the visualization of multiple relationship elements is impossible
Solution Approach 1:
The patent transitions from one-dimensional simple relationship labels to multi-dimensional relationship visualization by incorporating multiple attributes (relationship type, strength, category, platform source) into the display. This dimensional expansion enables comprehensive visualization of relationship elements while the underlying system maintains simplicity through standardized data structures that organize these dimensions systematically.
Data Source
Figure 1
Figure 2~3
Figure 4(a)~4(c)
AI summary
Provided are a mobile terminal and method for providing a human network management service in the mobile terminal, the method including receiving human network data from a social network service site; checking and converting a schema of each received human network data into a predetermined schema; and updating human network data in the mobile terminal according to the converted schema.