Introduction and Rationale
The Proposer: I am a lifelong scholar who has dedicated 47 years to the field of Geography. As an active Google Maps Local Guide, I have contributed over 1,000 high-precision field photographs to improve the accuracy of geographical data.
Rationale: With Google Maps now moving toward integrating high-precision map data in South Korea, it is the opportune time to overhaul the service’s fundamental architecture. This proposal aims to implement a next-generation map service that aligns with geographic principles and ensures world-class data integrity and user experience.
Phase 1: Core Foundation & Data Reliability
01. Correcting UI Location Offsets and Prioritizing Official Data
Problem: Significant location offset bugs occur when adding new places, where the pin does not align with the intended coordinates.
Proposal: Fix coordinate synchronization errors in the UI and grant Override Priority to official data from government agencies over unofficial user edits.
02. Data Cleansing System and User Trust Scoring
Problem: Information pollution caused by out-of-context photos (e.g., unrelated airport photos uploaded to Ilsan lake park).
Proposal: Strengthen AI-based image filtering and implement a Trust Score system for contributors to ensure that high-quality data from reliable sources is prioritized and reflected instantly.
Phase 2: Data Architecture & Spatial Logic
03. Establishing Systematic Name Hierarchy
Proposal: Categorize place names into Administrative, Natural, and Cultural Names. Implement a hierarchical display logic based on Zoom Levels, from continental to neighborhood scales.
04. Implementing Drill-down Visibility based on Containment
Proposal: Establish Parent-Child Relationships for large-scale sites (e.g., Palace > Individual Building) to ensure detailed information appears progressively as the user zooms in.
05. Area-based (Polygon) POI and Cluster Management
Proposal: Introduce Polygon POIs for areas with multiple internal assets (e.g., Sculpture Parks) to allow collective management of clustered objects under a single spatial theme.
Phase 3: Visual UX & Information Design
06. Hierarchical Symbolization and Labeling
Proposal: Differentiate symbol sizes and utilize Color Gradients and specialized pictograms(e.g., pagodas, monuments) to allow users to intuitively perceive the significance of a location.
07. Visual Separation of Public and Private POIs
Proposal: Use distinct Color Coding for public landmarks vs. commercial establishments, enabling users to distinguish the nature of the location within a fraction of a second.
08. Dual-track Review Systems based on Category
Proposal: Separate commercial “Rating Reviews” from “Knowledge Contribution Reviews” for historical and public sites, encouraging users to share factual information rather than subjective star ratings.
Phase 4: Temporal & Dynamic Maintenance
09. Multi-Review System for Time-series Archiving
Proposal: Allow high-level Local Guides to post multiple reviews for a single POI to document seasonal and yearly changes (Time-series Archiving).
10. Time-series POI Management for Temporary Events
Proposal: Create Annual Independent POIs for recurring festivals (e.g., “2024 Flower Expo,” “2025 Flower Expo”). This preserves the historical evolution of the event as a digital archive without cluttering the permanent site data.
11. User-defined Data Expiration Dates
Proposal: Require creators of temporary POIs (e.g., festival food stalls) to set an Expiration Date, ensuring that “Ghost POIs” are automatically removed from the map once the event ends.
5. Statement of Cooperation
As a scholar who has spent nearly five decades studying the Earth’s surface and human interaction with it, I believe these improvements will set a new global standard for digital cartography. I am fully prepared to engage in detailed discussions, provide further case studies, or consult on the technical implementation of these items. Please feel free to contact me for any clarifications.

