查看文章

Smart cities are evolving into a larger interconnected ecosystems and many applications and services in these ecosystems are going on-line. A key challenge in smart city applications is aggregation and processing of streaming information from various domains. In fact, large amounts of valuable data and sensor information remain still unused or are limited to specific application domains due to large number of specific technologies and format, and efficient adaptive stream processing for high-level events is still a hard task. We present a smart city framework for processing large-scale IoT data streams by enriching data streams with semantic annotations, enabling adaptive processing, aggregation and federation of data. We also address the challenges of smart adaptation, user centric decision support and reliable information processing for smart city applications.