Data mining is the discovery of meaningful information or unrevealed patterns in data.
Traditional data‐mining approaches, using statistical calculations, machine learning …

With the COVID-19 pandemic and the growing influence of the Internet in critical sectors of
industry and society, cyberattacks have not only not declined, but have risen sharply. In the …

Abstract The OWL Reasoner Evaluation competition is an annual competition (with an
associated workshop) that pits OWL 2 compliant reasoners against each other on various …

Abstract Competency Questions (CQs) are natural language questions outlining and
constraining the scope of knowledge represented in an ontology. Despite that CQs are a …

We investigate the learning of quantitative structure activity relationships (QSARs) as a case-
study of meta-learning. This application area is of the highest societal importance, as it is a …

Abstract An Introduction to Ontology Engineering is a free online textbook that provides an
overview of ontology engineering, including logics and automated reasoning, methods and …

The ML-Schema, proposed by the W3C Machine Learning Schema Community Group, is a
top-level ontology that provides a set of classes, properties, and restrictions for representing …

The complex dynamic structure of the ontology and its content requires implementing of
optimization procedures to better ontology processing performance and resolve conflicts …

Intelligent assistants often struggle with the complexity of spatiotemporal models used for
understanding objects and environments. The construction and usage of such models …

This data article reports on a new set of 234 competency questions for ontology
development and their formalisation into a set of 131 SPARQL-OWL queries. This is the …