Geographic Information System Augmentation via Unrecognized Term Redaction
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Solution Overview
Problem
Geographic Information Systems (GIS) often fail to recognize street addresses, leading to delayed and less accurate search results due to missing information, as they cannot geocode certain terms, resulting in longer response times and lower quality search results.
Innovation Solution
A process that compares street addresses to a GIS, redacts unrecognized terms, retrieves corresponding geolocations, and adds bounding areas to the GIS, enhancing its comprehensiveness and search efficiency by associating the redacted terms with geographic areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the GIS includes more comprehensive feature information, then search accuracy improves, but system complexity and data processing requirements increase
Solution Approach 1:
The system performs preliminary geocoding attempts on address components before finalizing the GIS database. By pre-processing address data and attempting geocoding in advance, the system identifies missing features and adds them to the GIS database proactively, improving future search accuracy without increasing real-time processing complexity
Solution Approach 2:
The system automatically detects unrecognized address terms, retrieves their geolocations, and adds them to the GIS database without manual intervention. This self-updating mechanism comprehensively enhances the GIS feature information while automating the data enrichment process, reducing the need for manual system maintenance
2Reliability
If the GIS recognizes more address terms, then geocoding success rate improves, but data processing time increases
Solution Approach 1:
The system segments addresses into individual components (street names, building numbers, etc.) and processes each component separately for geocoding. This segmentation allows the system to identify unrecognized terms efficiently and add only the necessary missing features to the GIS database, reducing overall data processing time while improving geocoding success rate
Solution Approach 2:
The system performs geocoding attempts and identifies missing features in advance during off-peak hours or batch processing, so that the GIS database is pre-updated with additional features before actual search operations begin, reducing real-time processing delays
3Loss of information
If the GIS database is updated with missing features, then information completeness improves, but computational resources required increase
Solution Approach 1:
The system performs partial updates to the GIS database by adding only the specific missing features identified during address geocoding attempts, rather than comprehensively updating the entire database. This selective approach improves information completeness for relevant areas while minimizing computational resource consumption
Solution Approach 2:
The system automatically updates the GIS database with missing features through self-service mechanisms, where unrecognized address terms are detected and their corresponding geolocation data is retrieved and added without manual intervention, reducing the computational overhead associated with manual database maintenance
Data Source
AI summary
Provided is a process for augmenting a geographic information system. Some examples of the process include comparing, with a computer system, street addresses to a geographic information system to identify addresses having a term that is not recognized by the geographic information system; removing, with the computer system, the term from the identified addresses to form redacted addresses; retrieving, with the computer system, a plurality of geolocations corresponding to the redacted addresses from the index; determining, with the computer system, a bounding area of the plurality of geolocations; and augmenting, with the computer system, the geographic information system with an entry associating the bounding area with the term.