Workshop on Deep Learning for Knowledge Graphs

About

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, ESWC2019, ESWC 2020, ISWC2021, ISWC2022 aims to reinforce the relationships between these communities and foster inter-disciplinary research in the areas of KG, Deep Learning, and Natural Language Processing.

Volunteer to be the part of program committee of DL4KG by filling in this form.

Topics of Interest

New Approaches for Combining Deep Learning and Knowledge Graphs

Representation Learning over Knowledge Graphs
Dynamic knowledge graphs
Large Language Models for Knowledge Graphs
Knowledge Graphs for Large Language Models
Prompt engineering and knowledge graphs

Applications of combining Deep Learning and Knowledge Graphs

Knowledge Graph Completion
Knowledge Graph Construction
Knowledge Graph Alignment
Recommender Systems

Knowledge-Based Natural Language Processing

Text Classification
Natural Language Understanding
Question Answering
Entity Linking

Submission Details

Papers must comply with the CEUR-WStemplate (single column)
Papers are submitted in PDF format via the workshop’s Open Review submission pages

Submissions can fall in one of the following categories:

Full research papers (8-10 pages)
Short research papers (4-6 pages)
Position papers (2 pages)
Lightning talks (1 page abstract)

Accepted papers (after blind review of at least 3 experts) will be published by CEUR–WS.

At least one of the authors of the accepted papers must register for the workshop (pre-conference only option) to be included into the workshop proceedings.

Organizing Committee

Mehwish Alam

Telecom Paris, Institut Polytechnique de Paris, France

Davide Buscaldi

Labortoire d'Informatique Paris Nord (LIPN), Paris, France

Michael Cochez

Vrije University of Amsterdam, the Netherlands

Francesco Osborne

Knowledge Media Institute (KMi), The Open University, UK

Diego Reforgiato Recupero

University of Cagliari, Cagliari, Italy

Program Committee

Maribel Acosta, University of Ruhr Bochum, Germany
Basil Ell, University of Bielefeld, Germany
Pierre Monnin, Orange, Belfort, France
Andreea Iana, University of Mannheim, Germany
Genet Asefa Gesese, FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur, Germany
Daniel Daza, Vrije Universiteit Amsterdam, the Netherlands
Danilo Dessi, GESIS, Germany
Claudia d'Amato, University of Bari, Italy
Catia Pesquita, University of Lisbon, Portugal
Mehdi Ali, University of Bonn, Germany
Anna Fensel, WUR, the Netherlands
Mehdi Ali, University of Bonn, Germany
Afshin Sadeghi, University of Bonn, Germany
Ernesto Ruiz Jimenez, City University of London, UK
Heiko Paulheim, University of Mannheim, Germany
Maria Esther Vidal, TIB, Hannover, Germany
Sahar Vahadati, Infai
Agnese Chiatti, Politechnico di Milano, Italy
Costa Gustavo
Enrico Daga, KMi, UK
Fabian Hoppe
Nicolas Hubert, LORIA
Vasilis Efthymio
Paul Groth, University of Amsterdam, the Netherlands
Longquan Jiang, University of Hamburg, Germany
Rima Dessi, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Germany
Ricardo Usbeck, Hamburg University, Germany
Gerard De Melo, University of Potsdam, Germany
Xi Yan, University of Hamburg, Germany