Entity Relationship Mining via Query Statement Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for mining entity relationships are labor-intensive and costly, relying heavily on manual operations and high-frequency tagging, which limits their ability to accurately satisfy user search requirements and efficiently mine relationships between entity words.
Innovation Solution
A method and apparatus that search for query statements satisfying preset conditions in a query statement set to mine associated entity words, allowing for the extraction of relationships between entity words with improved accuracy and efficiency, reducing labor costs and enhancing search capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual operations and high-frequency tagging are used to mine entity relationships, then labor intensity and cost increase, but the accuracy and efficiency of mining relationships between entity words improve
Solution Approach 1:
The patent replaces manual mechanical operations with an automated computing system that uses query statement sets and entity recognition algorithms to mine relationships between entity words, thereby improving both accuracy and efficiency simultaneously
Solution Approach 2:
The system enables automated self-service mining of entity relationships by constructing query statement sets that automatically identify and extract relationships between entity words without requiring continuous manual intervention or tagging
2Device complexity
If existing classification systems use entity words as leaf nodes, then the system complexity is reduced, but the granularity becomes too large to satisfy user search requirements
Solution Approach 1:
The patent segments entity words into hierarchical levels by analyzing query statement sets, dividing broad entity categories into finer sub-categories based on their relationships, thereby achieving appropriate granularity without excessive system complexity
Solution Approach 2:
The patent introduces a new dimension of entity relationship analysis by examining co-occurrence patterns and semantic relationships in query statements, adding depth to the classification system beyond simple hierarchical nesting
Data Source
AI summary
A method for mining an entity relationship, apparatus, electronic device, and a storage medium are provided. An implementation of the method may include: searching, in a query statement set, for a query statement satisfying a preset condition corresponding to a target entity word; in response to at least one query statement satisfying the preset condition corresponding to the target entity word being found in the query statement set, mining an associated entity word corresponding to the target entity word based on the found at least one query statement satisfying the preset condition corresponding to the target entity word.