More and more data in various formats are integrated into knowledge graphs. However,
there is no overview of existing approaches for generating knowledge graphs from …

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 …

The Internet of Things (IoT) provides the ability for humans and computers to learn and
interact from billions of things that include sensors, actuators, services, and other Internet …

The Internet of Things (IoT) is part of the Internet of the future and will comprise billions of
intelligent communicating “things” or Internet Connected Objects (ICOs) that will have …

RDF and SPARQL are established standards for data interchange and querying on the Web.
While they have been shown to be useful and applicable in many scenarios, they are not …

We present a description and analysis of the data access challenge in Siemens Energy. We
advocate Ontology Based Data Access (OBDA) as a suitable Semantic Web driven …

In the last years, attention has been devoted to the development of ontologies, which are ICT
conceptual models allowing a formal and shared representation of a particular domain of …

Relational databases scattered over the web are generally opaque to regular web crawling
tools. To address this concern, many RDB-to-RDF approaches have been proposed over …

Network-enabled sensing and actuation devices are key enablers to connect real-world
objects to the cyber world. The Internet of Things (IoT) consists of the network-enabled …

Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience
(UX) by providing deep understanding, profound empathy, tailored assistance, useful …