DL4KG 2022
Deep Learning for Knowledge Graphs 2022

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