Detecting and repairing dirty data is one of the perennial challenges in data analytics, and
failure to do so can result in inaccurate analytics and unreliable decisions. Over the past few …

To date, most Internet applications focus on providing information, interaction, and
entertainment for humans. However, with the widespread deployment of networked …

This paper promotes the concept of smart and connected communities SCC, which is
evolving from the concept of smart cities. SCC are envisioned to address synergistically the …

Complementary to the fancy big data applications, networking for big data is an
indispensable supporting platform for these applications in practice. This emerging research …

In this paper we address the problem of scalable, native and adaptive query processing over
Linked Stream Data integrated with Linked Data. Linked Stream Data consists of data …

Advances in sensor data collection technology, such as pervasive and embedded devices,
and RFID Technology have lead to a large number of smart devices which are connected to …

Reconstructing the environment in cyber space by sensory data is a fundamental operation
for understanding the physical world in depth. A lot of basic scientific work (eg, nature …

Many applications today need to manage large data sets with uncertainties. In this paper we
describe the foundations of managing data where the uncertainties are quantified as …

The rapid development in information and computer technology has facilitated an extreme
increase in the collection and storage of digital data. However, the associated rapid increase …

We introduce SRBench, a general-purpose bench mark primarily designed for s treaming R
DF/SPARQL engines, completely based on real-world data sets from the Linked Open Data …