| Vol-3020 urn:nbn:de:0074-3020-3 Copyright © JJJJ for the individual papers by the papers' authors. Copyright © 2020 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).

# KR4L 2020
Knowledge Representation and Representation Learning

### Proceedings of the International Workshop on Knowledge Representation and Representation Learning
co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020)

### Virtual Event, September, 2020.

Edited by

### Emanuel Sallinger (1)
Sahar Vahdati (2)
Mojtaba Nayyeri (3)
Lianlong Wu (4)

(1) TU Wien, Vienna, Austria, University of Oxford, Oxford, UK,
(2) InfAI , Dresden, Germany, University of Oxford, Oxford, UK,
(3) University of Bonn , Bonn, Germany,
(4) University of Oxford, Oxford, UK,

## Table of Contents

- Preface
  Summary: There were 10 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume, 6 as regular papers and 2 as invited short papers.

### Session 1: RL for Knowledge Representation and Reasoning (Knowledge Representation and Reasoning)

- Knowledge Graphs: Meeting Point of Knowledge Representation and Representation Learning 1-2 (2)
  Emanuel Sallinger
- Traversing Knowledge Graphs with Good Old (and New) Joins 3-9 (7)
  Paolo Atzeni, Luigi Bellomarini, Davide Benedetto, Emanuel Sallinger
- Cluster Discovery from Sensor Data Incorporating Expert Knowledge 10-21 (12)
  Szymon Bobek, Agnieszka Trzcinkowska, Edyta Brzychczy, Grzegorz J. Nalepa

### Session 2: KRR for Representation Learning (Representation Learning with Knowledge Representation)

- Augmenting Logic-based Knowledge Graphs: The Case of Company Graphs 22-27 (6)
  Paolo Atzeni, Luigi Bellomarini, Michela Iezzi, Emanuel Sallinger, Adriano Vlad
- The Effect of Rule Injectionin a Leakage Free Dataset 28-35 (8)
  Mirza Mohtashim Alam, Mojtaba Nayyeri, Chengjin Xu, Md Rashad Al Hasan Rony, Hamed Shariat Yazdi, Afshin Sadeghi, Jens Lehmann
- Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings 36-42 (7)
  Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann

### Session 3: KRR and RL Joint Applications (Knowledge Graphs for Cognitive Science)

- Blockchains as Knowledge Graphs - Blockchains for Knowledge Graphs (Vision Paper) 43-51 (9)
  Luigi Bellomarini, Markus Nissl, Emanuel Sallinger
- An Evolutionary Algorithm for Rule Learning over Knowledge Graphs 52-59 (8)
  Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob

2021-10-18: submitted by Emanuel Sallinger, metadata incl. bibliographic data published under Creative Commons CC0
2021-11-25: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|