Data Comparison Service Normalizing Multi-Source Event Information
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Solution Overview
Problem
Organizations face difficulties in managing and combining data from multiple sources due to varying formats, which hinders efficient comparison and presentation of information to users.
Innovation Solution
A method is implemented to obtain data objects from multiple sources, convert them into a common data structure, and generate event summaries by comparing similar data types, allowing users to efficiently compare data across different formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is obtained from multiple sources in various formats, then the quantity and diversity of information is improved, but the difficulty of managing and combining data increases
Solution Approach 1:
The patent segments data from multiple sources into standardized data objects with consistent schemas. Each data source is processed independently into uniform data structures, which are then aggregated. This segmentation approach allows the system to handle diverse data formats by breaking them down into manageable, standardized units, resolving the contradiction between information diversity and management complexity.
Solution Approach 2:
The patent introduces an intermediary layer (data object model and normalization service) between raw data sources and the final application. This intermediary standardizes and harmonizes data from various formats into a common structure, enabling efficient management and combination of diverse information without increasing overall system complexity.
2Loss of information
If data is aggregated from various sources, then the completeness of information is improved, but the difficulty of presenting relevant information to users increases
Solution Approach 1:
The patent extracts and identifies relevant data elements from aggregated sources based on user needs and data relationships. By selectively extracting pertinent information from the complete dataset and presenting it in organized formats, the system maintains information completeness while improving ease of presentation and user access to relevant data.
Solution Approach 2:
The patent transforms flat, aggregated data into multi-dimensional presentations with hierarchical organization, filtering capabilities, and contextual relationships. This dimensional transformation allows users to navigate and present information in multiple ways, maintaining completeness while significantly improving ease of operation and relevance.
3Measurement precision
If data items are compared across multiple sources, then the accuracy of analysis is improved, but the time required for processing increases
Solution Approach 1:
The patent performs preliminary actions by pre-processing and normalizing data into standardized objects before comparison operations. Data validation, formatting, and structuring are completed in advance, so that when comparison is needed, the system can quickly analyze already-prepared data without time-consuming format conversions, thus maintaining accuracy while reducing processing time.
Data Source
AI summary
Systems, methods, and software described herein provide enhancements for managing and comparing data from multiple information sources. In one implementation, a method of operating a comparison service includes obtaining, from a plurality of data sources, data objects in a plurality of formats corresponding to an event, wherein the data objects each comprise data items for the event. The method further includes maintaining a data structure for the event, wherein the data structure relates data items of similar data type from the plurality of data sources. The method also provides identifying a user request for a summary of the event, generating an event summary based on the data structure, and providing the event summary to the requesting user.