Vol-3020
urn:nbn:de:0074-3020-3

Copyright © 2020 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 2020

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|