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 …

With Knowledge Graphs (KGs) at the center of numerous applications such as recommender
systems and question-answering, the need for generalized pipelines to construct and …

Abstract The Relational to RDF Mapping Language (R2RML) became a W3C
Recommendation a decade ago. Despite its wide adoption, its potential applicability beyond …

Smart contracts constitute the foundation for blockchain distributed applications. These
constructs enable transactions in trustless environments using consensus algorithms and …

With knowledge graphs (KGs) at the center of numerous applications such as recommender
systems and question answering, the need for generalized pipelines to construct and …

A large amount of data is available in tabular form. RML is commonly used to declare how
such data can be transformed into RDF. However, RML presents limitations that lead, in …

Abstract Ontology-Based Data Access (OBDA) has traditionally focused on providing a
unified view of heterogeneous datasets (eg, relational databases, CSV and JSON files) …

This FGCS special issue aims at supporting the discussion and the circulation of research
on the various kinds and ways for Data Exploration, in a sense that especially stems from the …

Nowadays, Knowledge Graphs (KG) are among the most powerful mechanisms to represent
knowledge and integrate data from multiple domains. However, most of the available data …

Today's atmospheric data is generated swiftly as a result of the growth of IoT and sensor
technologies and is available via data suppliers' RESTful APIs. However, sensor data mostly …