| Vol-3342 urn:nbn:de:0074-3342-7 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# DL4KG 2022
Deep Learning for Knowledge Graphs 2022

### Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2022)
co-located with the 21th International Semantic Web Conference (ISWC 2022)

### Virtual Conference, online, October 24, 2022.

Edited by

### Mehwish Alam *
Davide Buscaldi **
Michael Cochez ***
Francesco Osborne ****
Diego Reforgiato Recupero *****

* FIZ Karlsruhe, Leibniz Institute for Information Infrastructure, Germany
** Université Paris 13, Labortoire d’Informatique Paris Nord (LIPN), Paris, France
*** KRR, Vrije Universiteit Amsterdam, the Netherlands
**** KMI, Knowledge Media Institute, The Open University, UK
***** University of Cagliari, Department of Mathematics and Computer Science, Cagliari, Italy

## Table of Contents

- Preface
  Summary: There were 13 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume.

### Papers

- Towards A Question Answering System over Temporal Knowledge Graph Embedding
  Kristian Otte, Kristian Simoni Vestermark, Huan Li, Daniele Dell'Aglio
- Transformer-based Subject Entity Detection in Wikipedia Listings
  Nicolas Heist, Heiko Paulheim
- Improving Language Model Predictions via Prompts Enriched with Knowledge Graphs
  Ryan Brate, Minh-Hoang Dang, Fabian Hoppe, Yuan He, Albert Meroño-Peñuela, Vijay Sadashivaiah
- Knowledge Graph Embeddings for Link Prediction: Beware of Semantics!
  Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo
- Neuro-symbolic learning for dealing with sparsity in cultural heritage image archives: an empirical journey
  Agnese Chiatti, Enrico Daga
- Bilingual Question Answering over DBpedia Abstracts through Machine Translation and BERT
  Michalis Mountantonakis, Michalis Bastakis, Loukas Mertzanis, Yannis Tzitzikas
- A Closer Look at Sum-based Embeddings for Knowledge Graphs Containing Procedural Knowledge
  Richard Nordsieck, Michael Heider, Anton Hummel, Joerg Haehner
- Knowledge Graph Embeddings for Causal Relation Prediction
  Aamod Khatiwada, Sola Shirai, Kavitha Srinivas, Oktie Hassanzadeh
- Multi-label Classification using BERT and Knowledge Graphs with a Limited Training Dataset
  Malick Ebiele, Lucy McKenna, Malika Bendechache, Rob Brennan
- CosmOntology: Creating an Ontology of the Cosmos(short position paper)
  Vasilis Efthymiou

2023-02-11: submitted by Michael Cochez, metadata incl. bibliographic data published under Creative Commons CC0
2023-02-11: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|