In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

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 …

Despite the significant number of existing tools, incorporating data from multiple sources and
different formats into the Linked Open Data cloud remains complicated. No map** …

RDF is a graph based data model which is widely used for semantic web and linked data
applications. In this paper we describe a Shape Expression definition language which …

Integration of heterogeneous data sources in a single representation is an active field with
many different tools and techniques. In the case of text-based approaches—those that base …

RDF triplestores and property graph databases are two approaches for data management
which are based on modeling, storing and querying graph-like data. In spite of such …

With the growing amount of data being continuously produced, it is crucial to come up with
solutions to expose data from ever more heterogeneous databases (eg NoSQL systems) as …

Automatic knowledge graph (KG) construction is widely used in industry for data integration
and access, and there are several approaches to enable (semi-) automatic construction of …

In this paper we thoroughly cover the issue of blank nodes, which have been defined in RDF
as 'existential variables'. We first introduce the theoretical precedent for existential blank …

The General Data Protection Regulations (GDPR) imposes greater restrictions on obtaining
valid user consents involving the use of personal data. A semantic model of consent can …