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