Geostory, a company specializing in artificial intelligence (AI) for spatial intelligence, announced on August 4 that it will serve as the lead organizer of the "Master Plan Research for National Base Map Transformation," overseen by the National Geographic Information Institute under the Ministry of Land, Infrastructure, and Transport.


Geostory Leads AI Transformation of National Base Map as Master Plan Organizer for MOLIT Research View original image

The current national base map contains location and shape information, but it faces a structural limitation in that AI cannot recognize semantic relationships between objects, which hinders data utilization. As the lead organizer for this master plan research, Geostory is developing core strategies to embed the government's three key directions for national AI—creating an AI innovation ecosystem, implementing a nationwide AI-based transformation, and contributing to the establishment of an international AI-based society—within the spatial information infrastructure.


Geostory is establishing a policy framework to standardize two key approaches as national infrastructure: the "spatial object atomization policy," which decomposes geographic features into minimally meaningful object units, and a "global web standard-based immutable unified resource identifier (URI) assignment system."


The company is also proposing a system to manage the entire process—from data collection to knowledge graph integration—through a workflow engine, enabling a nation-wide automated update pipeline that reflects changes in land and spatial data. Additionally, Geostory is planning a HITL (Human-in-the-loop) assisted quality control system, where correction suggestions generated by AI will be subject to final approval by national quality control officers.


With the establishment of the AI-based intelligent information system through this master plan research, Geostory anticipates that Korea will be able to assign URIs to all national geographic objects and construct a large-scale spatial knowledge graph, securing a leading position in GeoAI worldwide.



A representative from Geostory stated, "This research marks the paradigm shift of national spatial data from drawings interpreted by humans to intelligent information systems understood by AI," and added, "As AI's comprehension of the national base map improves, the commercialization of future mobility industries such as urban air mobility (UAM) and autonomous driving will accelerate accordingly."


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