Geocoded Data Scoring and Filtering for Map Detail
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Solution Overview
Problem
Modern geographic information systems face challenges in processing and presenting geocoded datasets effectively, often resulting in extracted data being insufficiently detailed and containing irrelevant information, which hinders user utility.
Innovation Solution
A geographic information system and method that utilize user-generated content, such as videos, photos, and blogs, to generate a level-of-detail score for data elements, filtering out extraneous information and presenting relevant geo-annotations on a map based on geocode information, metadata, and user-generated text, ensuring only high-quality data is displayed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If geocoded data is extracted and displayed without filtering, then the quantity of information is increased, but the relevance and quality of the information deteriorates
Solution Approach 1:
The patent extracts and separates relevant geo-annotations from irrelevant user-generated content through a scoring system. Data elements are evaluated based on multiple criteria (geocode information, metadata, user-generated text) and only those above a threshold are extracted for display, thus removing irrelevant information while preserving useful data.
Solution Approach 2:
The system changes the parameter of data quality by introducing a score-based filtering mechanism. Data elements are transformed from raw user-generated content into scored representations, where the score reflects the level of detail and relevance. This parameter transformation enables selective display of high-quality data only.
2Measurement precision
If detailed geo-annotations are extracted, then the measurement precision of geographic information is improved, but the device complexity increases
Solution Approach 1:
The patent segments the data processing task into distinct components: geocode information extraction, metadata analysis, user-generated text processing, and scoring. This segmentation allows each component to handle specific aspects of detail extraction independently, improving precision while managing system complexity through modular architecture.
Solution Approach 2:
The scoring system acts as an intermediary between raw data and final display. It mediates the complexity by providing a unified evaluation framework that consolidates multiple data sources (geocode info, metadata, text) into a single relevance metric, simplifying the overall system architecture while maintaining high measurement precision.
3Productivity
If all user-generated content is processed, then the productivity of data processing is improved, but the loss of irrelevant information increases
Solution Approach 1:
The system performs preliminary scoring and filtering of all user-generated content before display. By evaluating all data elements upfront and assigning scores based on relevance criteria, the system identifies and retains relevant geo-annotations while discarding irrelevant information, thus preventing information loss while maintaining processing efficiency.
Data Source
AI summary
A geographic information system and method that facilitate the display of user-annotated datasets. The dataset can include data such as user-generated videos, photos, blogs, etc., and is processed to search for geo-annotations. The geo-annotations and other data signals are utilized by a scorer to determine a level-of-detail for the particular data. The level-of-detail provided by the scorer is utilized by the geographic information system to determine which data to display as a user navigates around a map.