Parcel Data Normalization via Grouping and Intermediary Verification
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Solution Overview
Problem
Companies face difficulties in acquiring and managing parcel data due to its wide range of sources, leading to challenges in verifying and maintaining accurate information, especially in remote areas where mapping and addressing data are lacking.
Innovation Solution
A computer-based system and method for parcel data normalization that aggregates data from multiple sources, verifies it against mapping and addressing data, groups unverified parcels based on characteristics, and applies normalization criteria to enhance data accuracy and inclusion of remote areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional verification methods are used for parcel data, then data accuracy can be confirmed for well-documented areas, but parcels in remote areas without mapping and addressing data cannot be verified and are discarded
Solution Approach 1:
The patent introduces an intermediary verification process that uses alternative data sources and comparison methods when traditional mapping and addressing data are unavailable. The system acts as a mediator between the parcel data and verification requirements, finding intermediate verification paths through multiple data sources and normalization techniques to confirm parcel accuracy without relying solely on traditional mapping data.
Solution Approach 2:
The system changes the verification parameters from requiring traditional mapping and addressing data to using alternative parameters such as parcel characteristics, location attributes, and comparisons with neighboring parcels. This parameter transformation allows verification to proceed using different measurable attributes when conventional verification data is unavailable.
2Adaptability or versatility
If parcel data from multiple sources is aggregated, then comprehensive coverage including remote areas can be achieved, but data verification and normalization become more difficult
Solution Approach 1:
The patent segments the verification process into distinct stages: initial data aggregation from multiple sources, followed by systematic normalization steps that handle different data types separately. The complex verification process is divided into manageable segments including format standardization, validation against multiple criteria, and hierarchical verification levels, making the overall process more tractable despite handling diverse data sources.
Solution Approach 2:
The system implements a universal normalization framework that handles multiple data sources through a single integrated process. The verification system performs multiple functions including data cleaning, validation, standardization, and cross-referencing within one unified approach, reducing the need for separate complex processes for each data source type.
3Measurement precision
If strict verification criteria are applied to ensure data quality, then accurate parcel information is maintained, but parcels in remote areas are excluded due to lack of verification data
Solution Approach 1:
The patent applies partial verification actions where full traditional verification is performed when possible, but alternative verification methods are used when traditional criteria cannot be met. The system performs excessive verification by checking multiple alternative criteria and data sources beyond the single traditional method, ensuring that parcels in remote areas meet equivalent accuracy standards through different verification paths.
Data Source
AI summary
System and methods are disclosed that attempt to verify data related to a parcel against mapping and addressing data. If the data cannot be verified, then an enhanced normalization process may be performed. The enhanced normalization process may attempt to group the parcel with some other parcels based on parcel characteristics. If the grouping is successful, then normalization may be performed on the grouping. Normalization may involve checking whether the grouping satisfies a set of grouping criteria.