Entity Profile Harmonization via Automated Web Data Integration
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Solution Overview
Problem
Webpage information about an entity often becomes outdated or inconsistent with other electronically published data, leading to inaccuracies and a lack of harmonization across different sources.
Innovation Solution
A computer-implemented method and system that harmonizes a descriptive webpage with other electronically published information by searching for and retrieving additional data, using a profile harmonizing computer to compare and update the entity's profile based on search engine results, with rules governing the integration of new information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If webpage information is manually updated, then information accuracy is improved, but time consumption and labor cost increase
Solution Approach 1:
The system enables automatic self-updating of entity profiles by harvesting information from web sources. The profile harmonizing computer automatically searches for, retrieves, and integrates new information about entities without requiring manual intervention, thus maintaining high accuracy while eliminating time consumption and labor costs associated with manual updates.
Solution Approach 2:
The system implements a feedback mechanism where the profile harmonizing computer continuously monitors web sources for new information about entities. When changes are detected, the system automatically retrieves and integrates this information back into the entity profiles, creating a closed-loop feedback system that maintains information accuracy automatically.
2Loss of information
If multiple information sources are integrated, then information completeness is improved, but data consistency and harmonization become more difficult
Solution Approach 1:
The profile harmonizing computer serves as an intermediary system between multiple web sources and entity profiles. It standardizes and harmonizes information from diverse sources by applying consistent processing rules, data formats, and integration logic, thereby maintaining data consistency while achieving complete information aggregation.
Solution Approach 2:
The system transforms information from various web sources into standardized parameters and formats suitable for entity profiles. By changing the parameter representation of data from different sources into a common framework, the system achieves both information completeness and data harmonization.
3Productivity
If automatic updating is implemented, then time efficiency is improved, but risk of introducing errors increases
Solution Approach 1:
The system incorporates feedback mechanisms where the profile harmonizing computer continuously validates retrieved information against existing profiles and source reliability criteria. This feedback loop allows automatic updating while maintaining reliability by filtering out erroneous information and verifying data quality before integration.
Solution Approach 2:
The system performs preliminary validation and verification of web sources and retrieved information before automatic integration into entity profiles. By pre-screening sources and data for reliability and accuracy, the system reduces error risk while maintaining the efficiency benefits of automatic updating.
Data Source
AI summary
A descriptive webpage about an entity is harmonized with other electronically published information about the entity. A descriptive webpage, which includes an entity profile about an entity, is located. Other electronically published information about the entity is retrieved. The descriptive webpage is harmonized with the other electronically published information by updating the entity profile with the other electronically published information about the entity.