The world of smart manufacturing is continuously evolving. Since the introduction of the term
“Industry 4.0” by the German government in the year 2011, different terms, technologies and …

In classification-based stream mining, drift detection is essential in order to (i) inform
operators when unintended system changes occur and (ii) make classifier updates more …

Large transformer-based language models, eg BERT and GPT-3, outperform previous
architectures on most natural language processing tasks. Such language models are first …

In the last few years, Apache Spark has become a de facto the standard framework for big
data systems on both industry and academy projects. Spark is used to execute compute‐and …

An approach is provided for automatically generating and processing concept vectors by
extracting concept sequences from one or more content sources and generating first …

Web vocabularies (WV) have become a fundamental tool for structuring Web data: over 10
million sites use structured data formats and ontologies to markup content. Maintaining …

The world of smart manufacturing is continuously evolving. Since the introduction of the term
“Industry 4.0” by the German government in the year 2011, different terms, technologies and …

This paper discusses the use of Linked Data to harmonize the Dutch censuses (1795-1971).
Due to the long period they cover, census data is notoriously difficult to compare, aggregate …

Researchers have been interested recently in publishing and linking Humanities datasets
following Linked Data principles. This has given rise to some issues that complicate the …

The RDF Data Cube vocabulary is a catalyst for the availability of statistical Linked Data: raw
statistical Linked Data are easy to model in, publish to, and retrieve from the Linked Data …