One of the key traits of Big Data is its complexity in terms of representation, structure, or
formats. One existing way to deal with it is offered by Semantic Web standards. Among them …

The adoption of the Internet of Things (IoT) in industry provides the opportunity to gather
valuable data. Nevertheless, this amount of data must be analyzed to identify patterns in the …

Over the last years, Linked Data has grown continuously. Today, we count more than 10,000
datasets being available online following Linked Data standards. These standards allow …

Over the last years, the Semantic Web has been growing steadily. Today, we count more
than 10,000 datasets made available online following Semantic Web standards …

Over the last two decades, the amount of data which has been created, published and
managed using Semantic Web standards and especially via Resource Description …

Computing dataset statistics is crucial for exploring their structure, however, it becomes
challenging for large-scale datasets. This has several key benefits, such as link target …

Nowadays, ontologies are used in various application areas, involving Artificial Intelligence,
Natural Language Processing, Data Integration, and Knowledge Management. It is essential …

With the recent trend on blockchain, many users want to know more about the important
players of the chain. In this study, we investigate and analyze the Ethereum blockchain …

Linked open data sources and the semantic web has become a precious data source for
data analytics tasks and data integration. The growing data set sizes of RDF Knowledge …

Aufgabenstellung. Ziel des Forschungsvorhabens war es, maschinelles Lernen (ML) für
Intelligente Technische Systeme (ITS) entlang der gesamten Wertschöpfungskette …