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 …

Expressing machine-interpretable statements in the form of subject-predicate-object triples
is a well-established practice for capturing semantics of structured data. However, the …

After years of mostly theoretical research, Semantic Web Technologies are now reaching out
into application areas like bioinformatics, eCommerce, eGovernment, or Social Webs …

Provenance, ie, the origin or source of something, is becoming an important concern, since it
offers the means to verify data products, to infer their quality, to analyse the processes that …

We describe a generic framework for representing and reasoning with annotated Semantic
Web data, a task becoming more important with the recent increased amount of inconsistent …

One of the main tasks when creating and maintaining knowledge bases is to validate facts
and provide sources for them in order to ensure correctness and traceability of the provided …

One of the main tasks when creating and maintaining knowledge bases is to validate facts
and provide sources for them in order to ensure correctness and traceability of the provided …

Pervasive and sensor-driven systems are by nature open and extensible, both in terms of
input and tasks they are required to perform. Data streams coming from sensors are …

Over the past few years, we have witnessed the emergence of large knowledge graphs built
by extracting and combining information from multiple sources. This has propelled many …

In this paper, we leverage annotated logic programs for tracking indicators of provenance
and trust during reasoning, specifically focussing on the use-case of applying a scalable …