Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …

Online social network such as Twitter, Facebook and Instagram are increasingly becoming
the go-to medium for users to acquire information and discuss what is happening globally …

The technological landscape of intelligent transport systems (ITS) has been radically
transformed by the emergence of the big data streams generated by the Internet of Things …

Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …

With the ever-increasing urbanization process, systematically modeling people's activities in
the urban space is being recognized as a crucial socioeconomic task. This task was nearly …

The real-time discovery of local events (eg, protests, crimes, disasters) is of great importance
to various applications, such as crime monitoring, disaster alarming, and activity …

Interest in real-time syndromic surveillance based on social media data has greatly
increased in recent years. The ability to detect disease outbreaks earlier than traditional …

Detecting local events (eg, protest, disaster) at their onsets is an important task for a wide
spectrum of applications, ranging from disaster control to crime monitoring and place …

In the last few years, Twitter has become a popular platform for sharing opinions,
experiences, news, and views in real-time. Twitter presents an interesting opportunity for …

With the broad adoption of mobile devices, notably smartphones, keyword-based search for
content has seen increasing use by mobile users, who are often interested in content related …