Semantic Sensor Network

Semantic Sensor Networks (SSNs) integrate sensor data with ontologies and knowledge graphs to enable intelligent data analysis and decision-making. Current research emphasizes using large language models (LLMs) and knowledge graph reasoning to enhance data extraction, validation, and the creation of context-aware decision support systems, particularly in domains like environmental monitoring (e.g., forest fire management) and military operations (e.g., Internet of Battlefield Things). This approach improves situational awareness and enables more effective responses to complex events by leveraging semantic interoperability and automated reasoning over sensor data streams. The resulting advancements have significant implications for various sectors requiring real-time data analysis and intelligent automation.