Over the past years there has been a rapid growth in the use and the importance of Knowledge Graphs (KGs) along with their application to many important tasks. KGs are large networks of real-world entities described in terms of their semantic types and their relationships to each other. On the other hand, Deep Learning methods have also become an important area of research, achieving some important breakthrough in various research fields, especially Natural Language Processing (NLP) and Image Recognition.
In order to pursue more advanced methodologies, it has become critical that the communities related to Deep Learning, Knowledge Graphs, and NLP join their forces in order to develop more effective algorithms and applications. This workshop, in the wake of other similar efforts at previous Semantic Web conferences such as ESWC2018 as DL4KGs and ISWC2018, aims to reinforce the relationships between these communities and foster inter-disciplinary research in the areas of KG, Deep Learning, and Natural Language Processing.
ST-Lab, CNR, Rome, Italy
Labortoire d'Informatique Paris Nord (LIPN), Paris, France
Fraunhofer Institute for Applied Information Technology FIT, Germany
Knowledge Media Institute (KMi), The Open University, UK
University of Cagliari, Cagliari, Italy
FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Germany