Entity Record Management via Weighted Relation Scoring
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Solution Overview
Problem
Conventional methods for identifying primary field-specific entities are biased and difficult due to manual data maintenance and neglect of complex associations, leading to outdated and incomplete analysis, which is inefficient and costly in time-critical product launches.
Innovation Solution
A method and system for managing primary field-specific entity records using a structured database that segments entity records into field segments, identifies pairs with similar attributes, designates relations, determines weightage and importance scores, and receives user-input to identify influential entities based on specified fields.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual data maintenance is used for entity records, then ease of operation is improved, but reliability deteriorates due to outdated and incomplete analysis
Solution Approach 1:
The system automatically updates entity records by crawling current data from multiple sources (social networking sites, blogs, news, etc.) without requiring manual intervention. The automated update mechanism ensures data freshness and reliability while maintaining ease of use through automatic operation.
Solution Approach 2:
The system continuously monitors and updates entity records based on current data from various sources, creating a feedback loop that ensures the records remain accurate and up-to-date. This automated feedback mechanism resolves the contradiction by maintaining reliability through continuous updates while requiring minimal user input.
2Productivity
If software is developed to consider broad criteria for identification, then productivity is improved, but measurement precision deteriorates due to neglect of complex associations
Solution Approach 1:
The system segments entity records into field-specific segments and identifies complex associations between entities within each segment. This segmentation allows the system to process data efficiently (improving productivity) while maintaining measurement precision by analyzing complex relationships within structured fields rather than treating all data uniformly.
Solution Approach 2:
The system applies different analysis criteria to different field-specific segments, considering the complex associations relevant to each specific field. This local quality approach ensures measurement precision by tailoring the analysis to the specific requirements of each field while maintaining overall productivity through automated processing.
3Ease of operation
If entity records are not updated regularly, then ease of operation is improved, but loss of information increases due to inability to identify changes in associations
Solution Approach 1:
The system automatically crawls and updates entity records from multiple data sources without requiring manual intervention. This self-service update mechanism prevents information loss by continuously capturing changes in entity associations while maintaining ease of operation through automated operation.
Solution Approach 2:
The system continuously updates entity records by crawling current data from various sources, ensuring that information about entity associations is always fresh and accurate. This continuous action prevents information loss while requiring minimal user input, resolving the contradiction between ease of operation and information completeness.
Data Source
AI summary
A method and a system for managing primary field-specific entity records required by a user. The method includes developing a structured database to identify field-specific entity records, identifying pairs of field-specific entity records having similar entity attribute in the field segments, designating relations between the identified pairs of field-specific entity records, determining a weightage score of the relations between the pairs of field-specific entity records, determining an importance score of each of the field-specific entity records based on the plurality of entity attributes of the field-specific entity record and relations of the field-specific entity record, receiving a first user-input based on a field specified by the user, identifying the primary field-specific entity records based on the determined weightage scores and the determined importance scores of the field-specific entity records in the field segment associated with the specified field.