Vol-2377
urn:nbn:de:0074-2377-1

Copyright © 2019 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

DL4KG2019
Workshop on Deep Learning for Knowledge Graphs

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2019)
Co-located with the 16th Extended Semantic Web Conference 2019 (ESWC 2019)

Portoroz, Slovenia, June 2, 2019.

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
*** FIT, Fraunhofer Institute for Applied Information Technology, Germany
**** KMI, Knowledge Media Institute, The Open University, UK
***** University of Cagliari, Department of Mathematics and Computer Science, Cagliari, Italy

Table of Contents

Preface

Papers

Loss Functions in Knowledge Graph Embedding Models 1-10
Sameh Mohamed, Vit Novacek, Pierre-Yves Vandenbussche, Emir Munoz
Graph-Convolution-Based Classification for Ontology Alignment Change Prediction 11-20
Matthias Jurisch, Bodo Igler
Mining Scholarly Data for Fine-Grained Knowledge Graph Construction 21-30
Davide Buscaldi, Danilo Dessi, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero
A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications 31-40
Genet Asefa Gesese, Russa Biswas, Harald Sack
Iterative Entity Alignment with Improved Neural Attribute Embedding 41-46
Ning Pang, Weixin Zeng, Jiuyang Tang, Zhen Tan, Xiang Zhao
Knowledge Reconciliation with Graph Convolutional Networks: Preliminary Results 47-56
Pierre Monnin, Chedy Raissi, Amedeo Napoli, Adrien Coulet
End-to-End Learning for Answering Structured Queries Directly over Text 57-70
Paul Groth, Antony Scerri, Ron Daniel, Bradley Allen
Can Knowledge Graphs and Deep Learning Approaches help in Representing, Detecting and Interpreting Metaphors? 71-73
Mehwish Alam

2019-06-11: submitted by Diego Reforgiato Recupero, metadata incl. bibliographic data published under Creative Commons CC0
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