Historical Data Aggregation With Weighted Source Reconciliation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems struggle to aggregate and reconcile varying accounts of historical data from multiple sources accurately, leading to inefficiencies in data search and retrieval, with irrelevant results often included and relevant information overlooked.
Innovation Solution
A method and system for aggregating data elements associated with subjects, calculating combined scores based on sub-scores and weights, and outputting indications of these scores to create a coherent and usable historical narrative.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data from multiple sources is aggregated to provide comprehensive historical information, then the completeness and coverage of data improves, but the accuracy and reliability of the aggregated information deteriorates due to varying perspectives and interpretations
Solution Approach 1:
The patent segments the aggregated data into individual data elements with distinct provenance tracking. Each data element maintains its source attribution and is evaluated independently, allowing the system to preserve comprehensive data while managing reliability through granular source verification and weighting mechanisms.
Solution Approach 2:
The patent introduces an intermediary verification layer that mediates between multiple data sources. This intermediary system evaluates, validates, and reconciles conflicting information from different sources before integration, maintaining data completeness while ensuring accuracy through systematic verification processes.
2Quantity of substance
If comprehensive data aggregation is performed to include all historical accounts, then the coverage of information improves, but the efficiency of data retrieval and processing deteriorates due to increased data volume
Solution Approach 1:
The patent segments comprehensive historical data into discrete, structured data elements with standardized metadata. This segmentation enables efficient indexing, querying, and retrieval operations while maintaining complete information coverage, as the segmented structure allows targeted access to specific data elements without processing the entire dataset.
Solution Approach 2:
The patent transforms unstructured historical narratives into structured data elements with standardized parameters and attributes. This parameter transformation enables efficient database operations, filtering, and retrieval while preserving comprehensive information, as structured data can be quickly searched and filtered based on specific criteria.
3Quantity of substance
If multiple data sources are integrated to provide comprehensive coverage, then the breadth of information improves, but the complexity of data reconciliation and verification increases
Solution Approach 1:
The patent standardizes diverse data sources by transforming them into unified data elements with consistent parameters, schemas, and metadata structures. This parameter standardization reduces reconciliation complexity while maintaining comprehensive data breadth, as standardized formats enable automated verification and integration processes.
Solution Approach 2:
The patent employs intermediary verification mechanisms that systematically reconcile conflicts between multiple data sources. These intermediaries apply consistent validation rules and resolution protocols, reducing the complexity of manual reconciliation while preserving comprehensive information from all sources.
Data Source
AI summary
Data regarding a subject is received over a communication network. The data is parsed to extract data elements that are associated with various aspects of the subject. A plurality of sub-scores is calculated based on the values associated with the data elements. A combined score is calculated based on the plurality of sub-scores and weights corresponding to the plurality of sub-scores. An indication of the combined score associated with the subject is output.