Towards Sharing and Integrating Data and Models for Geospatial Artificial Intelligence on the Web

Artificial Intelligence (AI) technology is rapidly developing and has brought new vitality to the geospatial domain. More and more AI data and models for geospatial analysis are created and provided on the Web. It is often necessary to access all these resources with standardized interfaces and services, and develop methods to make them interoperable. The work in this paper is model design and case study for sharing and integrating Geospatial Artificial Intelligence (GeoAI) data and models on the Web. A GeoAI service model based on the OGC Web Services (OWS) is built by studying common features and core attributes, ensuring that the GeoAI data and model resources are findable, accessible, interoperable, and reusable. A prototype system and a case study are implemented and presented to demonstrate the feasibility of the method.