Abstract Knowledge Graphs (KGs) have made a qualitative leap and effected a real
revolution in knowledge representation. This is leveraged by the underlying structure of the …

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 …

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

Abstract Knowledge graphs are often constructed from heterogeneous data sources, using
declarative rules that map them to a target ontology and materializing them into RDF. When …

RDF knowledge graphs (KG) are powerful data structures to represent factual statements
created from heterogeneous data sources. KG creation is laborious and demands data …

Pooled-ride services have a significant potential for reducing traffic externalities and
enhancing transportation systems in the urban environment. These services and their users' …

RDF graphs are commonly derived from (semi-) structured data by applying a set of
map**s. RDF graph construction is performed by either materialising or virtualising an …

Building and publishing knowledge graphs (KG) as Linked Data, either on the Web or in
private companies, has become a relevant and crucial process in many domains. This …

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 Knowledge Graphs (KGs) are a powerful mechanism to structure and organize data
on the Web. RDF KGs are usually constructed by declaring a set of map** rules, specified …