Data Processing System Attaching Person-Based Metadata via Telecommunications Address Database
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Solution Overview
Problem
Current data processing systems face challenges in efficiently managing large volumes of personal data, particularly in annotating and sharing photographs, due to the semantic gap between automatically generated and user-relevant metadata, which is time-consuming and error-prone, especially on mobile devices with limited interfaces.
Innovation Solution
A method and system that utilize an address database within a telecommunications system to attach person-based metadata to data elements, allowing users to easily select and attach relevant metadata using name information, which is then converted into a widely recognized format for efficient processing and sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual annotation is used to provide semantic metadata, then the quality and relevance of metadata is improved, but the time consumption and error rate increase
Solution Approach 1:
The patent introduces an intermediary system that bridges automatic metadata generation and manual annotation. The system uses automatic recognition to pre-process data elements and generate candidate metadata, which is then presented to users for confirmation or correction. This intermediary approach reduces the time required for manual annotation while maintaining high metadata quality, as users only need to review and verify rather than create metadata from scratch.
Solution Approach 2:
The system performs preliminary automatic metadata generation before presenting the task to the user. By pre-processing data elements and generating candidate metadata tags, the system prepares the groundwork so that users can quickly review and confirm rather than create metadata entirely manually. This preliminary action significantly reduces the time investment required while preserving annotation quality.
2Loss of time
If automatic metadata generation is used, then the time consumption is reduced, but the semantic quality and relevance of metadata deteriorates
Solution Approach 1:
The system acts as an intermediary between automatic generation and final metadata assignment. It takes automatically generated candidate metadata, enhances it with contextual understanding, and presents refined options to users for final selection. This intermediary processing layer maintains the speed benefits of automation while improving semantic quality through additional analysis and user involvement.
Solution Approach 2:
The system changes the parameters of metadata generation by transitioning from purely automatic processing to a hybrid approach. It adjusts the level of user involvement and the depth of automatic analysis dynamically, allowing the system to optimize between speed and quality based on the specific data elements being processed and user preferences.
3Adaptability or versatility
If person-based metadata is attached using traditional methods, then the metadata is user-specific and meaningful, but the complexity of management and sharing across different users increases
Solution Approach 1:
The patent implements a universal metadata framework that can handle both user-specific semantic metadata and standardized exchange formats. The system maintains person-based metadata with full user-specific meaning while automatically translating and normalizing it for cross-user sharing. This multi-functional approach allows the same system to serve individual user needs and facilitate broader data exchange without increasing management complexity.
Solution Approach 2:
The system introduces an intermediary translation layer that converts between user-specific person-based metadata and standardized formats. This mediator handles the complexity of cross-user compatibility, allowing users to work with familiar person-based references while the system manages the translation and normalization required for sharing across different users and systems.
4Ease of operation
If limited user interface on mobile devices is used, then the portability and accessibility are improved, but the ease of operation for metadata attachment deteriorates
Solution Approach 1:
The system implements self-service functionality where the mobile device automatically performs metadata generation and attachment without requiring complex user interactions. The system autonomously processes data elements, generates candidate metadata, and presents simplified options for user confirmation. This self-service approach compensates for the limited interface by automating the complex parts of the process while keeping user interactions simple.
Solution Approach 2:
The system performs preliminary metadata generation and organization before presenting options to the user on the mobile device. By pre-processing data and preparing candidate metadata tags in advance, the system reduces the complexity of the user interface needed, as users only need to review and confirm pre-processed information rather than perform complex annotation tasks on a limited interface.
Data Source
AI summary
A data processing system (20) including a unit (29) producing data elements; data processing members (21) for processing the data elements; and a first data-base (22). A user is provided with at least a part of the content of the data element and the option of selecting the name information of at least one subscriber. The system fetches the address of the subscriber in the telecommunications system; generates metadata based on the address information; and attaches it to the data element. The attachment of person-based metadata to data elements becomes easier, and the processing of metadata during storage is improved.