[open-linguistics] First Call for Papers for the ESWC Workshop on Semantic Deep Learning (SemDeep-17)

[Thierry Declerck]

*First Call for Papers for the ESWC Workshop on Semantic Deep Learning 
(SemDeep-17) *

**** DEADLINE Friday 3 March 2017 ALL submissions****

*Scope: *

Semantic Deep Learning aims to bring together Semantic Web and deep 
learning methods, technologies, and resources. Semantic Web and deep 
learning research share the goal of creating intelligent artefacts that 
emulate human capacities, such as reasoning, validating, and predicting. 
Both fields have been considerably impacting data and knowledge analysis 
as well as representation.

Deep learning represents a set of machine learning algorithms that learn 
data representations by means of transformations with multiple 
processing layers. This algorithmic set has frequently been applied to 
feature learning, such as morphological tagging or speaker verification. 
Semantic Web technologies and knowledge representation boost the re-use 
and sharing of knowledge in a structured and machine-readable fashion. 
Semantic resources, such as WikiData or BabelNet, and methods have been 
successfully applied to semantic data mining.

Machine learning has been successfully applied to (semi-automated) 
ontology learning, ontology alignment, ontology annotation, duplicate 
recognition, and ontology prediction. Ontologies have been repeatedly 
utilized as input to machine learning tasks and as background knowledge 
to guide such tasks. Hybrid approaches, such as knowledge graph 
embeddings, hold the potential of improving the effectiveness of 
knowledge-related tasks. This workshop offers a platform for discussing 
such hybrid approaches and for fostering future collaborations between 
those two fields.

*Workshop Topics:*

Topics of interest for papers, posters, and software demonstrations of 
original and unpublished work include, but are not limited to:

-        learning and applying knowledge graph embeddings
-        deep learning and Semantic Web technologies for entity 
disambiguation
-        deep learning technologies for ontology learning
-        embedding-based relation prediction
-        ontology matching and alignment using deep learning
-        word embeddings for learning annotations
-        ontology-based clustering
-        ontology-based classification
-        Deep Structured Semantic Models (DSSM) for the Semantic Web
-        deep learning and semantic data for
o Machine Translation,
o Question & Answering,
o Information Extraction
*
Accepted Submissions:

*Full papers (max. 12 pages): mature research work that has been subject 
to evaluation
Posters/demos (max. 4 pages): early results, working demos, software, 
services and platforms

*Submission Procedure:

*Submissions should not exceed 12 pages and are to be formatted 
according to the Springer LNCS template 
<http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers 
should be submitted in PDF format to EasyChair 
<https://easychair.org/conferences/?conf=semdeep17>.

*Important dates:*

Paper submission deadline: Friday March 3, 2017 - 23:59 Hawaii Time
Notifications: Friday March 31, 2017
Camera-ready version: Thursday April 13, 2017 - 23:59 Hawaii Time
Workshop camera-ready proceedings due: May 1, 2017 - 23:59 Hawaii Time
Workshop days: May 28 or 29, 2017
*
Location:

*Semantic Deep Learning (http://semdeep.iiia.csic.es/) is a workshop 
collocated with the European Semantic Web Conference 
(http://2017.eswc-conferences.org/) and will take place in Portoroz, 
Slovenia on 28 May or 29 May 2017.

*Organizing Committee: *

Georg Heigold, DFKI GmbH, Germany
Dagmar Gromann, Artificial Intelligence Research Institute (IIIA - 
CSIC), Spain
Thierry Declerck, Saarland University & DFKI GmbH, Germany

*Program Committee:
*
Arkaitz Zubiaga, University of Warwick, UK
Brigitte Krenn, Austrian Research Institute for AI, Vienna, Austria
Felix Sasaki, W3C & DFKI GmbH; Berlin, Germany
John McCrae, Insight Centre for Data Analytics, Galway, Ireland
Jonathan Dehdari, DFKI GmbH, Germany
Laura Tolosi-Halacheva, Ontotext, Sofia, Bulgaria
Leon Derczynski, University of Sheffield, UK
Luis Espinosa Anke, TALN-DTIC, Universitat Pompeu Fabra, Spain
Martin Riedl, Language Technology Group, U. Hamburg, Germany
Octavia-Maria Șulea, Computational Linguistics, Saarland University
Sándor Darányi,University of Borås, Sweden
Stratos Kontopoulos, Multimedia Knowledge & Social Media Analytics 
Laboratory, Thessanloniki, Greece
Enrico Santus Aversano, The Hong Kong Polytechnic University, Hong Kong
Michael Spranger, Sony Computer Science Laboratories Inc., Tokyo, Japan
Vered Shwartz, Bar-Ilan University, Ramat Gan, Isreal


-- 
Thierry Declerck,
Senior Consultant at DFKI GmbH, Language Technology Lab
Stuhlsatzenhausweg, 3
D-66123 Saarbruecken
Phone: +49 681 / 857 75-53 58
Fax: +49 681 / 857 75-53 38
email: declerck at dfki.de

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Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH
Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern

Geschaeftsfuehrung:
Prof. Dr. Dr. h.c. mult. Wolfgang Wahlster (Vorsitzender)
Dr. Walter Olthoff

Vorsitzender des Aufsichtsrats:
Prof. Dr. h.c. Hans A. Aukes

Amtsgericht Kaiserslautern, HRB 2313
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