The proposed meta-graph solution for recommender systems is a living process for semi-automatically resolving recommendations using guided queries upon a knowledge graph. In addition, this solution is explainable; it can provide comprehensible recommendations which show the reason for each result...

KGC organizer François Scharffe opening address

Boost your Graph with Semantic NLP: Nicole Moldovan from Lymba talks about the Lymba platform and how Knowledge Graphs help produce better results in this demo called Boost your Graph with Semantic NLP. Nicole shows the viewers a problem some customers face with unstructured data. Afterwards, Nic...

Expressing opinions and interacting with others on the Web has led to the production of an abundance of online discourse data, such as claims and viewpoints on controversial topics, their sources and contexts (e.g., events, entities). These data constitute a valuable source of insights for studie...

Electronic health records (EHRs) have become a popular source of observational health data for learning insights that could inform the treatment of acute medical conditions. Their utility for learning insights for informing preventive care and management of chronic conditions however, has remaine...

In the realm of enterprise applications such as cybersecurity and anti-money laundering (AML), data and system engineers team up to deal with interconnected data of great scale and richness. The regulatory need adds requirements to instant tracibility and explanability of data and analytic models...

Knowledge graphs are increasingly built using complex multifaceted machine learning based systems relying on a wide of different data sources. To be effective these must constantly evolve and thus be maintained. I present work on combining knowledge graph construction (e.g. information extraction...

Ellie Young, Dean Allemang and James Hendler discuss and answer questions regarding first chapters of 'Semantic Web for the Working Ontologist'.

Ellie Young, Dean Allemang and James Hendler discuss and answer questions regarding first chapters of 'Semantic Web for the Working Ontologist'.

Listen to Paco Nathan answering questions in the field of knowledge graphs, ontology and machine learning.