Interoperability is one of the key challenges that needs to be addressed to realize the vision
of the Internet of Things (IoT). Achieving interoperability in IoT will allow billions of devices to …

In this paper, we consider approaches and tools for the development of applications for the
Internet of things, connecting sensors and Internet services. We compare tools for …

This chapter presents the use of Big Data in the evaluation of public interventions and the
use of Big Data in the social sciences. Similarly, surveys are rarely continuous events of data …

The growth of big data and its popularity in maritime surveillance has increased at an
exponential rate. The amount of maritime information being collected every minute around …

The web of data is growing at a staggering pace. A large number of data sources, APIs,
services, and data visualizations are publicly available. Satisfying users-complex …

In recent years, data has become vital in supporting our everyday lives. Along with large
volumes of open data available on the web, various types of public, private, and enterprise …

Integration of heterogeneous data sources is a crucial step in big data analytics, although it
creates ambiguity issues during mapping between the sources due to the variation in the …

From a decision-making perspective, the web is an emerging information domain. It makes a
large amount of data available for a large group of users in different domains. In recent …

With the coming of Web 2.0, several technologies are developed to facilitate creating,
sharing and reusing of web resources. In this context, the mashup is a novel approach that …