New AI Solution Enhances Urban and Climate Planning

A new artificial intelligence (AI) solution can transform fragmented environmental data into actionable insights for urban and climate planning. Dr. Arka Ghosh developed this system. It processes satellite images, weather maps, and other data sources. This data is often difficult to interpret due to varied formats.

The system, named Ontoraster, creates an intelligent network. Every data point, such as a pixel in an image, receives a clear meaning. It then links to other relevant information. This process uses knowledge graphs and advanced AI. It allows the system to understand connections between different data sources.

Users can ask complex questions and receive direct, understandable answers. They do not need programming or data analysis skills. This technology supports urban planners in designing sustainable and climate-smart cities. It also helps companies choose better locations. Authorities can act more quickly during crises like heat waves or floods.

For example, the system can identify the hottest areas near densely populated districts. This analysis previously required extensive manual effort. The AI solution completes it in seconds. A refined AI technique translates everyday questions into computer-understandable queries. This makes the system accessible to individuals without a technical background.

Dr. Ghosh's research focused on geodata, raster data, knowledge graphs, and semantic technologies. The resulting AI-driven question-answering system interprets complex data in a new way. It provides meaningful answers to advanced questions. This offers authorities, engineers, and decision-makers quick insights. These insights were previously difficult to obtain.