Apologies for cross-posting

Proceedings now in Springer Lecture Notes in Artificial Intelligence and
deadline extended

1st International Conference on Language, Data and Knowledge (LDK 2017)

http://www.ldk2017.org/

The new biennial conference series on Language, Data and Knowledge (LDK)
aims at bringing together researchers from across disciplines concerned
with the acquisition, curation and use of language data in the context of data
science and knowledge-based applications. With the advent of the Web and
digital technologies, an ever increasing amount of language data is now
available across application areas and industry sectors, including social
media, digital archives, company records, etc. The efficient and meaningful
exploitation of this data in scientific and commercial innovation is at the
core of data science research, employing NLP and machine learning methods
as well as semantic technologies based on knowledge graphs.

Language data is of increasing importance to machine learning-based
approaches in NLP, Linked Data and Semantic Web research and applications
that depend on linguistic and semantic annotation with lexical,
terminological and ontological resources, manual alignment across language
or other human-assigned labels. The acquisition, provenance,
representation, maintenance, usability, quality as well as legal,
organizational and infrastructure aspects of language data are therefore
rapidly becoming major areas of research that are at the focus of the
conference.

Knowledge graphs is an active field of research concerned with the
extraction, integration, maintenance and use of semantic representations of
language data in combination with semantically or otherwise structured
data, numerical data and multimodal data among others. Knowledge graph
research builds on the exploitation and extension of lexical,
terminological and ontological resources, information and knowledge
extraction, entity linking, ontology learning, ontology alignment, semantic
text similarity, Linked Data and other Semantic Web technologies. The
construction and use of knowledge graphs from language data, possibly and
ideally in the context of other types of data, is a further specific focus
of the conference.

A further focus of the conference is the combined use and exploitation of
language data and knowledge graphs in data science-based approaches to use
cases in industry, including biomedical applications, as well as use cases
in humanities and social sciences.

The LDK conference has been initiated by a consortium of researchers from
the Insight Centre for Data Analytics, InfAI (University Leipzig) and
Wolfgang Goethe University and a Scientific Committee of leading
researchers in Natural Language Processing, Linked Data and Semantic Web,
Language Resources and Digital Humanities. LDK is endorsed by several
international organisations: DBpedia, ACL SIGANN, Global Wordnet
Association, CLARIN and Big Data Value Association (BDVA). The first
edition, LDK 2017, will be held in Galway (Ireland) with a second edition
planned for 2019 in Leipzig (Germany).

Important Dates

16 February 2017 Paper submission

30 March 2017 Notification

20 April 2017 Camera-ready submission

19-20 June 2017 Conference

Paper submission

We welcome submission of relevance to the topics listed below. Submissions
can be in the form of long or short research papers, scientific abstracts
on use cases or position papers. Accepted submissions will be published in
a conference proceedings volume by Springer Lecture Notes in Artificial
Intelligence, and will be selected for presentation as oral or poster
presentation based on recommendations of reviewers (this choice does not
reflect the quality of the work).

All papers should follow the LNCS guidelines for formatting and should be
10-15 pages in length for long papers and 6-8 pages for short papers,
including references and optional appendices. Position papers and short
abstracts should be 4-6 pages in length. The layout templates are available
for download from the Springer website at:

https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0.

Papers should be submitted to EasyChair at the following address:

https://easychair.org/conferences/?conf=ldk2017

Proceedings will be published as a volume in the Springer Lecture Notes in
Artificial Intelligence (LNAI) series.

Topics

Language Data

   -

   Language data portals
   -

   Language data construction and acquisition
   -

   Language data annotation, storage or management
   -

   Crowdsourcing of language data
   -

   Metadata about language data
   -

   Multilingual, multimedia and multimodal language data
   -

   Evaluation, provenance and quality of language data
   -

   Usability, validation and visualization of language data
   -

   Organizational and infrastructural management of language data
   -

   Standards and interoperability of language data
   -

   Legal aspects of publishing language data
   -

   Typological databases
   -

   Under-resourced languages

Knowledge Graphs

   -

   Ontologies, terminology, wordnets and lexical resources
   -

   Information and knowledge extraction (taxonomy extraction, ontology
   learning)
   -

   Data, information and knowledge integration across languages
   -

   (Cross-lingual) Ontology Alignment
   -

   Semantic text similarity
   -

   Entity linking and relatedness
   -

   Linked Data profiling
   -

   Linguistic Linked Data
   -

   Multilingual Linked Data and multilingual Web of Data
   -

   Knowledge representation and reasoning on the Multilingual Semantic Web

Applications in NLP

   -

   Semantic search
   -

   Semantic content management
   -

   Question answering
   -

   Computer-aided Language Learning
   -

   Text analytics for Internet of Things
   -

   Multilingual Internet of Things
   -

   Applying big data to text analytics
   -

   Natural language interfaces to (big) data

Use Cases in Digital Humanities, Social Sciences, BioNLP

   -

   Applications in Digital Humanities such as distant reading
   -

   Analysis, enrichment of text archives
   -

   Text mining for Social Science research
   -

   Text mining from biomedical literature


Organizing Committee

Paul Buitelaar (Insight Centre for Data Analytics, NUI Galway, Ireland)

Christian Chiarcos (Wolfgang Goethe University, Frankfurt, Germany)

Sebastian Hellmann (InfAI, University of Leipzig, Germany)

John P. McCrae (Insight Centre for Data Analytics, NUI Galway, Ireland)

Program Chairs

Francis Bond (Nanyang Technological University, Singapore)

Jorge Gracia (Universidad Politécnica de Madrid, Spain)

Local organisers at the Insight Centre for Data Analytics, NUI Galway,
Ireland

John McCrae, Paul Buitelaar, Brian Davis, Cécile Robin, Mihael Arčan,
Housam Ziad

Scientific Advisory Committee

   -

   Pushpak Bhattacharyya - IIT Bombay, India
   -

   Francis Bond - Nanyang Technological University, Singapore
   -

   Key-Sun Choi - KAIST, South-Korea
   -

   Philipp Cimiano - Bielefeld University, Germany
   -

   Edward Curry - Insight Centre for Data Analytics, NUI Galway, Ireland
   -

   Franciska de Jong - Utrecht University / CLARIN ERIC, the Netherlands
   -

   Thierry Declerck - DFKI GmbH / Saarland University, Germany
   -

   Tatjana Gornostaja - Tilde, Latvia
   -

   Jorge Gracia - Universidad Politécnica de Madrid, Spain
   -

   Nancy Ide - Vassar College, USA
   -

   Eric Nyberg - Carnegie Mellon University, USA
   -

   Felix Sasaki - DFKI GmbH / W3C, Germany
   -

   Karin Verspoor - University of Melbourne, Australia


Program Committee

Agata Filipowska, Poznan University of Economics, Poland

Agata Savary, University of Tours, France

Alexandre Rademaker, IBM, Brazil

Alexis Dimitriadis, Universiteit Utrecht, The Netherlands

Andre Freitas, University of Passau, Germany

Andrea Moro, Microsoft, UK

Andrea Schalley, Griffith University, Australia

Armando Stellato, University of Rome, Tor Vergata, Italy

Axel Polleres, Vienna University of Economics and Business, Austria

Bettina Klimek, Leipzig University AKSW, Germany

Brian Davis, Insight Centre for Data Analytics, NUI Galway, Ireland

Carmen Brando, Institut National de L'Information Géographique et
Forestière, France

Caroline Barrière, Computer Research Institute of Montreal, Canada

Clement Jonquet, University of Montpellier, France

Cristina Vertan, University of Hamburg, Germany

Dagmar Gromann, IIIA-CSIC, Barcelona, Spain

Damir Cavar, Indiana University, USA

Dimitris Kontokostas, Leipzig University AKSW, Germany

Dongpo Deng, Institute of Information Science, Academia Sinica, Taiwan

Edward Curry, Insight Centre for Data Analytics, NUI Galway, Ireland

Elena González-Blanco García, Universidad Nacional de Educación a
Distancia, Madrid, Spain

Elena Montiel, Universidad Politécnica de Madrid, Spain

Eric Nyberg, Carnegie Mellon University, USA

Eveline Wandl-Vogt, Austrian Academy of Science, Austria

Fahad Khan, ILC-CNR, Italy

Felix Sasaki, DFKI GmbH, W3C Fellow, Germany

Francesca Frontini, Université Paul Valéry Montpellier, France

Francis Bond, Nanyang Technological University, Singapore

Franciska de Jong, Utrecht University, the Netherlands

Gerard de Melo, Rutgers University, USA

Gilles Sérasset, University Grenobles Alpes, France

Graeme Hirst, University of Toronto, Canada

Guadalupe Aguado, Universidad Politécnica de Madrid, Spain

Haofen Wang, East China University of Science and Technology, China

Harald Sack, FIZ Karlsruhe, Leibniz Center for Information Infrastructure,
Germany

Hatem Mousselly Sergieh, Darmstadt University, Germany

Heiko Paulheim, University of Mannheim, Germany

Hideaki Takeda, National Institute of Informatics, Japan

Hitoshi Isahara, Toyohashi University of Technology, Japan

Jeff Good, University at Buffalo, USA

Jorge Gracia, Universidad Politécnica de Madrid, Spain

Karin Verspoor, University of Melbourne, Australia

Kevin B. Cohen, University of Colorado School of Medicine, USA

Key-Sun Choi, KAIST, South Korea

Kiril Simov, Bulgarian Academy of Sciences, Sofia, Bulgaria

Krzysztof Wecel, Poznan University of Economics, Poland

Laurette Pretorius, UNISA, South Africa

Luis Morgado Da Costa, Nanyang Technical University, Singapore

Maciej Piasecki, Wroclaw University of Technology, Poland

Marc Verhagen, Brandeis University, USA

Mariano Rico, Universidad Politécnica de Madrid, Spain

Marieke van Erp, Vrije Universiteit Amsterdam, the Netherlands

Marko Tadić, University of Zagreb, Croatia

Marta Villegas, Universitat Autònoma de Barcelona, Spain

Martin Riedl, University of Darmstadt, Germany

Masaharu Yoshioka, Hokkaido University, Japan

Milena Slavcheva, JRC-Brussels, Belgium

Monica Monachini, Consiglio Nazionale delle Ricerche, Italy

Nancy Ide, Vassar College, USA

Nicoletta Calzolari, ILC-CNR, Italy

Nils Reiter, University of Stuttgart, Germany

Nitish Aggarwal, IBM Watson, USA

Núria Bel, Universitat Pompeu Fabra, Spain

Petya Osenova, Bulgarian Academy of Sciences, Sofia, Bulgaria

Philipp Cimiano, Bielefeld University, Germany

Piek Vossen, Vrije Universiteit Amsterdam, The Netherlands

Pushpak Bhattacharyya, IITP, India

Ricardo Usbeck, Leipzig University AKSW, Germany

Richard Eckart de Castilho, Technische Universität Darmstadt, Germany

Roberto Navigli, University of Rome, “La Sapienza”, Italy

Roman Klinger, University of Stuttgart, Germany

Sabine Schulte im Walde, University of Stuttgart, Germany

Sebastian Walter, Bielefeld University, Germany

Seiji Koide, Ontolonomy/National Institute of Informatics, Japan

Simone Ponzetto, University of Mannheim, Germany

Steve Cassidy, Macquarie University, Australia

Steven Moran, University Zürich, Switzerland

Sören Auer, University of Bonn, Germany

Tatjana Gornostaja, Tilde, Latvia

Thierry Declerck, DFKI GmbH, Saarland University, Germany

Ulli Waltinger, Siemens AG, Germany

Vanessa Lopez, IBM Europe, Ireland

Víctor Rodríguez-Doncel, Universidad Politécnica de Madrid, Spain

Yohei Murakami, Kyoto University, Japan

Yoshihiko Hayashi, Waseda University, Japan
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