Semantic Web and IoT in the Geospatial Domain Pioneering Sensor Networks, Web Services, and Cloud Computing for Enhanced Interoperability

New geospatial interoperability approach Semantic Integration and Dynamic Adaptability for Enhanced Geospatial Interoperability (SIDAGEI). The Semantic Enrichment Algorithm (SEA), Dynamic Adaptability Algorithm (DAA), and Efficient Data Processing Algorithm (EDPA) allow simply integration of the Semantic Web with IoT. Starting with ontological frameworks, the SEA algorithm gives raw location data meaning. This simplifies machine communication, which is useful for many applications. DAA makes sensor networks more adaptable by modifying settings depending on semantically improved data. This allows it to adjust to space changes. Finally, the EDPA algorithm increases cloud and online service geographic data processing. SIDAGEI’s scalability, interoperability, semantic depth, flexibility, processing speed, and dynamic reactivity are evaluated. The strategy consistently outperforms prior methods, improving geographic connection. SIDAGEI makes geographic data more adaptable and processable by adding useful information, according to testing. The proposed solution solves geographic domain problems, improving interoperability and geospatial information use.