Word Editing Knowledge Linking for Faster Explanatory Updates

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing methods for information editing and knowledge accumulation are time-consuming and lack accuracy, particularly in manual editing and machine-based knowledge mining.

Innovation Solution

An information processing method that displays information to be confirmed for a word to be edited, establishing an association relationship based on user operations to provide explanatory information, thereby reducing time and difficulty in generating and updating knowledge.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual editing methods are used to generate and update knowledge, then accuracy of information can be maintained, but time consumption and difficulty increase significantly

Engineering Contradiction:

Improveaccuracy of informationVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent introduces an intermediary system that automatically extracts knowledge from user interactions with the electronic device. This intermediary process bridges the gap between manual editing accuracy and automated efficiency by capturing user behavior data and converting it into structured knowledge without requiring direct user input or editing time.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables self-service knowledge generation by automatically mining and processing user interaction data without human intervention. The electronic device itself generates knowledge entries from its own usage data, eliminating the need for manual knowledge curation while maintaining relevance and accuracy through actual user behavior patterns.

Inventive Principle:

Principle #25Self-service

2Productivity

If machine-based knowledge mining is used to reduce time consumption, then productivity improves, but accuracy and reliability of extracted information deteriorate

Engineering Contradiction:

Improveknowledge generation efficiencyVSAvoidaccuracy of extracted information

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system implements feedback mechanisms where extracted knowledge is continuously validated and refined based on actual user interactions. The knowledge base evolves through feedback loops that confirm accuracy by comparing extracted information against subsequent user behaviors and correction patterns, ensuring machine mining maintains high precision.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary filtering and validation of extracted knowledge before it is stored in the knowledge base. By pre-processing machine-mined information through multiple verification stages using predefined criteria and user behavior patterns, the system ensures accuracy is established before knowledge is finalized, preventing low-quality data from entering the system.

Inventive Principle:

Principle #10Preliminary action

3Quantity of substance

If extensive manual processing is performed on information, then comprehensive knowledge can be accumulated, but the complexity and difficulty of the process increases

Engineering Contradiction:

Improvevolume of knowledgeVSAvoidprocess complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent merges multiple functions into a single automated process: data collection, knowledge extraction, validation, and storage are combined into one unified system that runs automatically in the background. This integration eliminates the need for separate manual processing steps while accumulating comprehensive knowledge from diverse user interactions across different applications and contexts.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system operates continuously in the background, constantly mining and processing user interaction data without interrupting normal device usage. This continuous operation accumulates knowledge over time from all user activities, maximizing knowledge volume without requiring dedicated processing time or increasing user-facing process complexity.

Inventive Principle:

Principle #20Continuity of useful action

4Ease of operation

If automated processes are used to reduce manual effort, then ease of operation improves, but the ability to handle complex information processing deteriorates

Engineering Contradiction:

Improveuser effort requiredVSAvoidinformation processing capability

Core Design Contradiction:

Ease of operationVSDifficulty of detecting and measuring

Solution Approach 1:

The automated system segments information processing into distinct analytical components: interaction detection, pattern recognition, knowledge extraction, and validation. Each segment handles specific aspects of complex information processing independently, allowing the system to manage sophisticated tasks through modular automated processes that require minimal user effort while maintaining high processing capability.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250307533A1Information processing method and apparatus, and electronic device

Publication Date: 2025.10.02 BEIJING ZITIAO NETWORK TECH CO LTD

AI summary

Embodiments of the present disclosure disclose an information processing method and apparatus, and an electronic device. A specific embodiment of the method includes: displaying information to be confirmed of a word to be edited; and on the basis of an operation on said information, establishing an association relationship said word and said information, where said information is used for providing explanatory information of said word.