In Japan, premier platforms such as the Digital National Land Information and the Geospatial Information Center provide essential datasets for disaster management, urban planning, and environmental analysis. However, these portals often lack comprehensive English interfaces or metadata, creating a formidable Language Barrier.

Beyond translation, a Technical Barrier exists in the form of localized standards. Japan’s Plane Rectangular Coordinate System (consisting of 19 distinct zones) and unique Map Sheet Codes (Zukaku-codes) are often undocumented in international contexts. For a developer outside Japan, interpreting a dataset encoded in "Zone 9" or navigating a Japanese-only download manual requires niche expertise that traditional translation tools cannot provide.

By integrating Generative AI into the FOSS4G workflow, we can lower the entry barrier for global collaboration. This session will demonstrate how AI can assist in navigating Japanese data portals and automating the processing of local datasets. Our goal is to move toward a truly inclusive geospatial ecosystem where local wisdom—stored in regional data—is accessible to the entire global community, regardless of language or local technical standards.