Data Summary System Using Segmentation and Intermediary Automation
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Solution Overview
Problem
Existing data analysis systems require users to manually search, organize, and summarize information from multiple sources, which is labor-intensive and inefficient, lacking a streamlined method for labeling, integrating, and displaying data in a user-friendly format.
Innovation Solution
A cloud-based or device-based platform with a streamlined interface that allows users to label, organize, integrate, and summarize data through single-action operations, including simplified information selection, annotation separation, and prioritization, using a system server with a processor to generate summaries in response to user commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users manually search, gather, and organize multiple documents from various sources, then complete data collection is achieved, but user workload and time consumption increase significantly
Solution Approach 1:
The system segments the data organization process into distinct components: automatic data gathering from multiple sources, labeling with unique identifiers, categorization, and summary generation. Each segment can be processed independently and automatically, eliminating the need for manual intervention in each step while maintaining complete data collection.
Solution Approach 2:
The patent introduces an intermediary system (the data organizing system with processor and memory) that acts as a mediator between multiple data sources and the user. This intermediary automatically gathers, labels, organizes, and summarizes data from various sources, reducing the time users would otherwise spend on these tasks while ensuring complete data collection.
2Manufacturing precision
If users utilize several tools to label and annotate data, then comprehensive labeling is achieved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system merges multiple labeling and annotation functions into a single integrated platform. Users can gather, label, annotate, organize, and summarize data from multiple sources using one unified system rather than switching between several separate tools, thereby maintaining labeling accuracy while reducing overall system complexity and improving ease of operation.
Solution Approach 2:
The patent creates a universal data organizing system that performs multiple functions: automatic data gathering, labeling with unique identifiers, annotation, categorization, and summary generation. This multi-functional system replaces the need for several specialized tools, maintaining comprehensive labeling capabilities while simplifying the user experience.
3Reliability
If users manually organize, integrate, and summarize original data with user-created data, then data integration quality is improved, but productivity decreases
Solution Approach 1:
The system enables self-service automation where the processor automatically organizes, integrates, and summarizes data from multiple sources based on unique identifiers and categories. The system performs these integration tasks autonomously without requiring manual user intervention, thereby maintaining high data integration quality while significantly improving productivity and reducing user workload.
Solution Approach 2:
The patent implements preliminary automated actions for data organization and integration. The system pre-processes data by automatically gathering it from multiple sources, labeling it with unique identifiers, organizing it into categories, and generating summaries before user review. This preliminary automated processing ensures high integration quality while freeing users from time-consuming manual tasks.
4Quantity of substance
If pre-sorted data in excess of usability requirements is obtained, then data availability is improved, but loss of information and time increase
Solution Approach 1:
The system applies local quality by automatically organizing data according to specific user-defined categories and criteria rather than providing all possible data uniformly. Data is labeled with unique identifiers and sorted into relevant categories based on user needs, ensuring data availability for specific purposes while reducing unnecessary data processing time.
Data Source
AI summary
Systems and methods of the present technology generally provide computer implemented assistance for data summary, including organizing and generating a summary of data selected form source documents. A data set of user-identified information from one or more source documents and/or custom information may be received by a system server of a data summary system. The system server assigns a unique identifier to the user-identified information and/or the custom information. The system server may then analyze and prioritize the user-identified information and any custom information, and generate a formatted summary that includes the user-identified information and the custom information. The system server may then provide the summary via the communication link to a client device.