Vol-2635
urn:nbn:de:0074-2635-1

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).

DL4KG2020
Deep Learning for Knowledge Graphs

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020)
co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020)

Heraklion, Greece, June 02, 2020 - moved online.

Edited by

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

* 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

Papers

Towards Exploiting Implicit Human Feedback for Improving RDF2vec Embeddings
Ahmad Al Taweel, Heiko Paulheim,
DeepLENS: Deep Learning for Entity Summarization
Qingxia Liu, Gong Cheng, Yuzhong Qu
Conditional Constraints for Knowledge Graph Embeddings
Michael Weyns, Pieter Bonte, Bram Steenwinckel, Filip De Turck, Femke Ongenae
Entity Type Prediction in Knowledge Graphs using Embeddings
Russa Biswas, Radina Sofronova, Mehwish Alam, Harald Sack
Probing a Semantic Dependency Parser for Translational Relation Embeddings
Riley Capshaw, Marco Kuhlmann, Eva Blomqvist
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction
Genet Asefa Gesese, Mehwish Alam, Harald Sack
Affinity Dependent Negative Sampling for Knowledge Graph Embeddings
Mirza Mohtashim Alam, Hajira Jabeen, Mehdi Ali, Karishma Mohiuddin, Jens Lehmann

2020-07-07: submitted by Michael Cochez, metadata incl. bibliographic data published under Creative Commons CC0
2020-07-08: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|