The explosion in the amount of the available RDF data has lead to the need to explore,
query and understand such data sources. Due to the complex structure of RDF graphs and …

More and more weakly structured, and irregular data sources are becoming available every
day. The schema of these sources is useful for a number of tasks, such as query answering …

The explosion in the size and the complexity of the available Knowledge Graphs on the web
has led to the need for efficient and effective methods for their understanding and …

The continuous and rapid growth of highly interconnected datasets, which are both
voluminous and complex, calls for the development of adequate processing and analytical …

The explosion of the web and the abundance of linked data demand effective and efficient
methods for storage, management, and querying. Apache Spark is one of the most widely …

In recent years, the growing application of Knowledge Graphs to new and diverse domains
has created the need to make these resources accessible and understandable by users with …

We present a novel approach to knowledge graph visualization based on ontology design
patterns. This approach relies on OPLa (Ontology Pattern Language) annotations and on a …

Knowledge graphs have now become common on the web, ranging from small taxonomies
for categorizing web sites, to large knowledge bases that contain a vast amount of structured …

The amount, size, complexity, and importance of Knowledge Graphs (KGs) have increased
during the last decade. Many different communities have chosen to publish their datasets …

This paper proposes an approach for semantic enrichment of dataset tags through the
assignment of terms extracted from the dataset content and the association with meaningful …