The distributed nature of Web applications is one of the reasons for the popularity of the Web. Nevertheless, the Web results in an unbounded and noisy environment populated by heterogeneous resources. To this extent, several research initiatives proposed semantic technologies that include RDF, SPARQL. However, a new generation of Web applications shows the need for processing data as soon as they arrive and before it is too late. New protocols are emerging to enable continuous and reactive data access. However, since data velocity is related to the whole data infrastructure, and new abstractions are required. Data streams, i.e., the fundamental entities of the stream processing, reached the Web shore. In my research, I focused on answering the following research question: Can we manage heterogeneous streams and events from various Web sources? The result of such an investigation is threefold: it is possible to identify, represent, and interact with events and streams by extending graph data models and query languages for continuous processing. In the meantime, fostered by emerging network technologies, people, vehicles, buildings, and even entire cities populate the Web. While the Web of Everything is rising, decentralised processing gains momentum, extending my research horizons towards edge-native graph stream processing.
