Distributed Data Verification System Using Poll Objects
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Solution Overview
Problem
Current electronic data aggregators face challenges in maintaining and updating directory data due to the manual and time-consuming process of collecting information from paper directories, leading to outdated information and increased costs, as well as limitations in publishing frequent changes such as products, services, and events.
Innovation Solution
A system and method for verifying data items in a database by using a network of distributed devices, where a poll object is generated, and responses from computing devices are evaluated based on quorum and tally criteria to determine verification results, allowing for real-time updates and incentivizing users to provide accurate information through scoring and prioritization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual collection from paper directories is used, then data can be collected, but the process is time-consuming and leads to outdated information
Solution Approach 1:
The patent replaces the mechanical manual process of employees copying data from paper directories with an automated electronic system. The system uses electronic data aggregation from multiple sources, automated parsing algorithms, and computer-based data processing to eliminate the manual mechanical copying process, thereby reducing update time while maintaining data accuracy through automated verification mechanisms.
Solution Approach 2:
The system performs preliminary actions by proactively collecting and updating data from multiple electronic sources before user queries are made. The automated system continuously monitors and aggregates data from various electronic directories, websites, and databases, ensuring data is current and ready for immediate retrieval, thus eliminating the time delay inherent in manual update processes.
2Productivity
If a large workforce is used to track changes, then data can be kept current, but infrastructure costs increase significantly
Solution Approach 1:
The system implements self-service by enabling automated data collection, verification, and updating without human intervention. Electronic data aggregation algorithms automatically scrape, parse, and validate data from multiple sources, with built-in conflict resolution mechanisms that resolve discrepancies without requiring employee review, thereby achieving high productivity with minimal workforce.
Solution Approach 2:
The patent creates a universal automated system that performs multiple functions: data collection from various sources, data parsing and extraction, validation and verification, conflict resolution, and database updating. This multi-functional automated system replaces numerous specialized employees, achieving high productivity while reducing the quantity of human resources required.
3Loss of information
If paper directories are used, then data can be published, but frequent changes like products and services cannot be tracked
Solution Approach 1:
The system implements continuous data collection and updating operations, constantly monitoring electronic sources for changes in directory information, products, services, and other dynamic data. This continuous automated process ensures that all information types are kept current, including frequently changing details that cannot be tracked through annual paper directory updates.
Solution Approach 2:
The patent creates a dynamic system that adapts to frequent changes in real-time. The automated electronic data aggregation system continuously scans for updates and immediately processes changes in products, services, hours of operation, and other dynamic information, allowing the system to adapt quickly to changing conditions unlike static paper directories.
Data Source
AI summary
A method and system of verifying data stored in a database, by polling one or more computing devices. A server generates a poll object for a data item and a poll notification is transmitted to the one or more computing devices, whereupon users of the computing devices may respond to the poll notification and transmit responses. A set of response notifications is received and the server determines if the set of response notifications satisfies a quorum criterion. If the quorum criterion is satisfied, the server determines a data verification result, based on a tally criterion.