Geospatial Data Prioritization via Social Network Integration
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Solution Overview
Problem
Existing Geographic Information Systems (GIS) lack efficient measures for prioritizing and retrieving geospatial data to improve performance, limiting their ability to effectively share and collaborate on geographic information.
Innovation Solution
A system that integrates a social network and data repository, utilizing a scalable framework to manage and analyze geospatial data by creating data objects with metadata, ratings, and semantic relationships, allowing users to share, search, and visualize data in various formats, and prioritize data based on relevance, popularity, and reputation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If geospatial data is stored and retrieved without prioritization measures, then data completeness is maintained, but system performance and retrieval efficiency deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing priority scores for geospatial data objects based on multiple criteria (relevance, popularity, reputation) before retrieval operations. This allows the system to quickly retrieve high-priority data without performing complex calculations during actual data access, thereby improving retrieval efficiency while managing complexity through advance preparation.
Solution Approach 2:
The patent replaces traditional mechanical sorting and filtering mechanisms with a computational priority scoring system. Instead of physically organizing data based on multiple criteria during retrieval, the system substitutes this with a mathematical framework that calculates priority scores algorithmically, enabling more efficient and flexible data prioritization without mechanical complexity.
2Adaptability or versatility
If multiple data formats are supported without standardization, then data versatility is improved, but data processing complexity increases
Solution Approach 1:
The system introduces an intermediary layer in the form of a standardized data model and conversion framework that sits between diverse data sources and the core processing system. This intermediary automatically transforms various geospatial data formats (shapefiles, GeoJSON, KML, etc.) into a unified internal representation, enabling versatile data format support while shielding the core system from format-specific complexity.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting data representation parameters based on the input format. The system automatically detects the source format and applies appropriate transformation parameters to convert data into a standardized form, allowing versatile format support through systematic parameter adjustment rather than complex manual processing for each format type.
3Productivity
If user-generated content is allowed without moderation, then collaboration and data contribution are enhanced, but data quality and reliability deteriorate
Solution Approach 1:
The system implements feedback mechanisms where user-generated geospatial data is evaluated based on multiple criteria including relevance to the query, popularity metrics (number of views, downloads, shares), and reputation scores of contributing users. This feedback loop allows high-quality user contributions to be prioritized and promoted while maintaining overall data quality, as poor-quality contributions receive lower priority scores and are less likely to be prominently displayed or retrieved.
Data Source
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AI summary
A system and method for connecting a social network to a geospatial data repository, comprising: accepting geospatial data from a user; linking the geospatial data to the user in the social network; and allowing the geospatial data to be searched and/or combined with other geospatial data from the user or other users in the social network.