Stream reasoning studies the application of inference techniques to data characterised by
being highly dynamic. It can find application in several settings, from Smart Cities to Industry …

Many" big data" applications must tame velocity (processing data in-motion) and variety
(processing many different types of data) simultaneously. The research on knowledge …

Cities can be observed through a broad set of sensing technologies, spanning from physical
sensors in the streets, to socio-economic reports, to other kinds of sources that are able to …

In the past few years, telling stories with data (narrative visualization) has been receiving
progressive attention, due to many benefits of its use. Seminal works in the field mapped the …

Spatial data infrastructures (SDIs) are fundamental to enabling informed decision-making
across a variety of industries and sectors but has primary relevance for managing land and …

O crescimento de dados gerados com o uso da Internet, faz com que, também, aumente a
dificuldade de fazer com que informações relevantes cheguem aos usuários. Para que isso …

In this paper, we investigate the problem of evaluating Basic Graph Patterns (BGP, for short,
a subclass of SPARQL queries) over dynamic Linked Data graphs; ie, Linked Data graphs …

Distributed systems have become the preferred solution for dealing with Big Data analysis
tasks. These systems are able to achieve superior performance by managing a large pool of …

Statistical data account for a very large proportion of data published on open data platforms.
This category of data are which are often of high quality, value and public interest; are …

In this study we show how Call Detail Record (CDR) can be used to better understand the
travel patterns of visitors. We show how Origin-Destination (OD) Interactive Maps can …