… and crawling of IoT data streams, will improve the processing time of the IoT data. In the last
… do not pay enough attention to the IoT data streams. For stream annotation, there is a lack of …

… is to provide a lightweight extension for data streams, we have developed IoT-Stream. The
development of IoT-Stream has always followed the linked-data approach, that increases the …

… knowledge discovery in data stream is the classification of the data streams in target classes…
data streams, conventional clas sification algorithm are of little significance in data streams …

… from heterogeneity of the data we define a harmonic set of data streams. A harmonic set of
data streams consists of a set of data streams, where each stream has a matching sampling …

… the real-time utilization of IoT data streams in terms of networking, … data streams called the
Information Flow of Things (IFoT) that processes, analyzes, and curates massive IoT streams …

… as SP, Data Serialization Systems (DSSs) and Complex Event Processing (CEP). SP platforms
allow us to build streaming applications that transform or react to data streams. They are …

… (CEP) for many Internet of Things (IoT) applications. … data streams on the fly, it is designed
for reactive applications as CEP acts on near real-time data and does not exploit historical data…

… In particular, the availability of open IoT data streaming from heterogeneous sources
constitute a novel powerful knowledge base. However, due to the inherent distributed, …

… ing data into information in Figure 1). Hence, we propose an efficient data stream dissemination
… semantic technologies, such as Linked Data. Our system efficiently retrieves relevant …

… development of the Internet of Things, the massive data streams that are only … data streams
bring to geographic information analysis. These challenges arise because streaming data …