[DL] CFP: Workshop on Deep Learning for Knowledge Graphs (DL4KG) @ESWC2020

Mehwish Alam alammehw at gmail.com
Sun Jan 5 15:46:12 CET 2020

International Workshop on Deep Learning for Knowledge Graphs (DL4KG)
Sunday May 31st, 2020
Web: https://alammehwish.github.io/dl4kg_eswc_2020/ <https://alammehwish.github.io/dl4kg_eswc_2020/>
Twitter: @dl4kg1

In conjunction with ESWC 20​20, May 31st - June 4th, Heraklion, Crete, Greece

Workshop Overview

Over the past years there has been a rapid growth in the use and the importance of Knowledge Graphs (KGs) along with their application to many important tasks. KGs are large networks of real-world entities described in terms of their semantic types and their relationships to each other. On the other hand, Deep Learning methods have also become an important area of research, achieving some important breakthroughs in various research fields, especially Natural Language Processing (NLP) and Image Recognition.

In order to pursue more advanced methodologies, it has become critical that the communities related to Deep Learning, Knowledge Graphs, and NLP join their forces in order to develop more effective algorithms and applications. This workshop, in the wake of other similar efforts at previous Semantic Web conferences such as ESWC2018, ESWC2019, and ISWC2018, aims to reinforce the relationships between these communities and foster interdisciplinary research in the areas of KG, Deep Learning, and Natural Language Processing. Moreover, this will be the third workshop edition at ESWC aiming at replicating the success of last year which attracted several submissions and attendees.

Topics of Interest

Topics of interest for the second workshop on Deep Learning for Knowledge Graphs and Semantic Technologies, include but are not limited to:

	- New approaches for the combination of Deep Learning and Knowledge Graphs
	- Methods for generating Knowledge Graph (node) embeddings
	- Scalability issues
	- Temporal Knowledge Graph Embeddings
	- Novel approaches
	- Applications of the combination of Deep Learning and Knowledge Graphs:
	- Recommender Systems leveraging Knowledge Graphs
	- Link Prediction and completing KGs
	- Ontology Learning and Matching exploiting Knowledge Graph-Based Embeddings
	- Knowledge Graph-Based Sentiment Analysis
	- Natural Language Understanding/Machine Reading
	- Question Answering exploiting Knowledge Graphs and Deep Learning
	- Entity Linking
	- Trend Prediction based on Knowledge Graphs Embeddings
	- Domain-Specific Knowledge Graphs (e.g., Scholarly, Biomedical, Musical)
	- Applying knowledge graph embeddings to real world scenarios.

Important Dates

- Friday February 28th, 2020: Full, Short and Position paper submission deadline
- Friday March 27th, 2020: Notification of Acceptance
- Friday April 10th, 2020: Camera-ready paper due
- Sunday May 31st, 2020: ESWC 2020 Workshop day


Papers must comply with the LNCS style and can fall in one of the following categories:
Full research papers (8-10 pages)
Short research papers (4-6 pages)
Position papers (2 pages)
Lightning talks (1 page abstract)

Submissions will be sent via EasyChair:

https://easychair.org/conferences/?conf=dl4kg <https://easychair.org/conferences/?conf=dl4kg>

Accepted papers (after blind review of at least 3 experts) will be published by CEUR-WS. The best paper (according to the reviewers rate) will be published within the main conference proceedings.

At least one of the authors of the accepted papers must register for the workshop (pre-conference only option) to be included into the workshop proceedings.


- Mehwish Alam, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Germany
- Davide Buscaldi, LIPN, Université Paris 13, France
- Michael Cochez, Vrije University of Amsterdam, the Netherlands
- Francesco Osborne, Knowledge Media Institute, (KMi), The Open University, UK
- Diego Reforgiato Recupero, University of Cagliari, Italy
- Harald Sack, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Germany
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