The document discusses the challenges and experiences of integrating spatial semantics into Web 3.0 applications for improved interoperability and intelligent analysis of diverse data sources. It emphasizes the importance of semantic technology in addressing issues like query mismatches and enhancing the analysis of real-time sensor data, particularly in relation to inclement weather and education. The presentation highlights various technologies, including semantic sensor web and linked sensor data, which facilitate effective querying and understanding of complex spatial information.