[Lexicog] First Conference on Language, Data and Knowledge (LDK 2017) - Proceedings in Springer LNAI - 2nd Call for Papers
John McCrae johnmccrae@gmail.com [lexicographylist]
lexicographylist at yahoogroups.com
Thu Jan 12 11:39:43 UTC 2017
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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