… knowledge workflows. We propose knowledge graphs as the reference technology for the
enterprise AI context, ie, the complex of entities, properties and relationships that shape a …

… and services, where massive heterogeneous data and multidisciplinary knowledge are
generated and leveraged. In this context, Knowledge Graph (KG) emerges as a promising tool to …

… Many open Knowledge Graphs are sourced from Wikipedia since it contains a very large
factual knowledge spread over multiple … Various Knowledge Graphs have been developed by …

… in the analytical toolkit shown in Table 2. In the next sections, we will use this toolkit to first
analyse … to improve on the integration of knowledge graphs in Explainable Machine Learning. …

… Management System Vadalog, which delivers highly expressive and efficient logical reasoning
and provides seamless integration with modern data science toolkits such as the Jupyter …

… multiple sectors and countries around the world, this book shows how ICTs can profoundly
strengthen knowledge … Workshops are held on topics like KM toolkits, with the message “If we …

… toolkit that can be used to create a unified food knowledge graph that links the various silos
… In order to evaluate the knowledge graph, we establish several competency questions that …

… and an open source toolkit to automatically build such Event-Centric Knowledge Graphs (ECKGs) …
We define an Event-Centric Knowledge Graph as a Knowledge Graph in which all …

… Yet, several blockchain toolkits have been introduced that explore … and Knowledge Graphs,
which goes beyond the graph-like structure. We show that reasoning in Knowledge Graphs …

… use of enterprise knowledge graphs motivated the development of Vadalog, a knowledge
graph … It adopts Warded Datalog +/- as the core of its language for knowledge representation …