2nd CFP: 3rd Workshop on Linked Data in Linguistics - Multilingual Knowledge Resources and NLP @ LREC-2014

Apologies for cross-posting.

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Second Call for Papers

3rd Workshop on LINKED DATA IN LINGUISTICS (LDL-2014): Multilingual  
Knowledge Resources and Natural Language Processing

Tuesday, May 27, 2014, Reykjavik (Iceland)

Collocated with the 9th Language Resources and Evaluation Conference
(LREC-2014)

http://ldl2014.org/

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The explosion of information technology has led to a substantial growth in  
quantity, diversity and complexity of linguistic data accessible on the  
Web. The lack of interoperability between linguistic and language  
resources represents a major challenge that needs to be addressed, in  
particular, if information from different sources is to be combined, such  
as machine-readable lexicons, corpus data and terminology repositories.  
The Linked Data in Linguistics (LDL) workshop series provides a forum to  
discuss these types of resources, strategies to address issues of  
interoperability between them, protocols to distribute, access and  
integrate this information and technologies and infrastructures developed  
on this basis.

The goal of the workshop is twofold. First, we will assemble researchers  
 from various fields of linguistics, natural language processing, knowledge  
management and information technology to present and discuss *principles,  
case studies, and best practices* for representing, publishing and linking  
mono- and multilingual  linguistic and knowledge data collections,  
including corpora, grammars, dictionaries, wordnets, translation memories,  
domain specific ontologies etc. In this sense, we particularly invite  
contributions discussing the application of the *Linked Open Data  
paradigm* to linguistic data as it might provide an important step towards  
making linguistic data:
i) easily and uniformly queryable,
ii) interoperable and
iii) sharable over the Web using open standards such as the HTTP protocol  
and the RDF data model [1].

The adaptation of some processes and best practices to *multilingual  
linguistic resources and knowledge bases* acquires also new relevance in  
this context. Some processes may need to be modified to accommodate the  
publication of resources that contain information in several languages.  
Also the linking process between linguistic resources in different  
languages poses important research questions, as well as the development  
and application of freely available knowledge bases and crowdsourcing to  
compensate the lack of publicly accessible language resources for various  
languages.

Secondly, we will provide researchers on natural language processing and  
semantic web technologies a platform to present case studies and best  
practices on the exploitation of linguistic resources exposed on the Web  
for *Natural Language Processing* applications, or other content-centered  
applications such as content analytics, knowledge extraction, etc. The  
availability of massive linked open knowledge resources raises the  
question how such data can be suitably employed to facilitate different  
NLP tasks and research questions. Following the tradition of earlier LDL  
workshops, we encourage contributions to the *Linguistic Linked Open Data  
(LLOD) cloud* [2] and research on this basis. In particular, this pertains  
to contributions that demonstrate an added value resulting from the  
combination of linked datasets and ontologies as a source for semantic  
information with linguistic resources published according to as linked  
data principles. Another important question to be addressed in the  
workshop is how Natural Language Processing techniques can be employed to  
further facilitate the growth and enrichment of linguistic resources on  
the Web.

The *intended audience* includes linguists, NLP engineers and researchers  
 from any field of computer science interested in the application of  
Semantic Web formalisms and related technologies to language data,  
empirically-working linguists and lexicographers interested in the  
representation, exchange and interlinking of knowledge resources,  
linguistic data and metadata, and developers of infrastructures for  
linguistic data and other researchers with an interest in both aspects.

Background and History
======================
This workshop brings together two community efforts, the Open Linguistics  
Working Group of the Open Knowledge Foundation (OWLG), and the W3C  
Ontology-Lexica Community Group. LDL-2014 is also supported by a recently  
started EU Support Action: LIDER (Linked Data as an enabler of cross-media  
and multilingual content analytics for enterprises across Europe), which  
aims to provide an ecosystem for the establishment of linguistic linked  
open data, as well as media resources metadata, for a free and open  
exploitation of such resources in multilingual, cross-media content  
analytics across Europe.

The workshop is continuing a series of workshops on the application of the  
Linked Data paradigm to linguistic data that have been initiated and  
organized by the Open Linguistics Working Group: The First Workshop on  
Linked Data in Linguistics (LDL-2012) was conducted in March 2012 at the  
University of Frankfurt am Main/Germany, and collocated with the 34th  
Annual Meeting of the German Linguistics Society (DGfS-2012). The Workshop  
on Multilingual Linked Open Data for Enterprises (MLODE-2012) was  
conducted in September 2012 at the University of Leipzig/Germany, and  
collocated with the 3rd Conference on Software Agents and Services for  
Business, Research and E-Science (SABRE-2012). The Second Workshop on  
Linked Data in Linguistics (LDL-2013) was conducted in Sep 2013 at CNR in  
Pisa/Italy, and collocated with the 6th International Conference on the  
Generative Lexicon (GL2013).


Linguistic Linked Data Challenge
================================
There is a data challenge associated to the Linguistic Linked Data  
Workshop. In addition to regular workshop papers, we will accept dataset  
description of 4-6 pages describing new linguistic dataset published on  
the web as linked data. These linguistic datasets include, but are not  
limited to, lexica, terminologies, semantic networks, annotated and  
parallel corpora, multimodal resources, typological databases and  
linguistic metadata. The data challenge committee will review and evaluate  
data according to four dimensions, with prizes of up to €700, funded by  
the LIDER project, awarded to the highest scoring datasets.
The criteria for the Linguistic Linked Data Challenge include:

* Availability
** Use of Linked Data and RDF.
** Hosted on a publicly accessible server and be available both during the
    period of the evaluation and beyond.
** Use of an open license.

* Quality of Resource
** Represents useful linguistically or NLP-relevant information.
** Reuses relevant standards and models.
** Contains complex, non-trivial information, e.g., multiple levels of
    annotation.

* Linking
** Links to external resources.
** Reuse of existing properties and categories.

* Impact/usefulness of the resource
** Relevant and likely to be reused by many researchers in NLP and wider  
fields.
** Uses linked data to improve the quality of and access to the resource.

* Originality
** Represents a type of resource or a community currently  
under-represented in
    (L)LOD cloud activities
** Facilitates novel and unforeseen applications or use cases (as  
described by
    the authors) enabled through Linked Data technology.

Details of the challenge are announced in separate Calls for Datasets, see  
http://ldl2014.org/challenge.html for up-to-date information.

Topics of interest
==================
We invite contributions related (but not limited) to the following topics:

1. Use cases and project proposals for the creation, publication or  
application of linguistic data collections that are linked with other  
resources

2. Modelling linguistic data and metadata with OWL and/or RDF

3. Ontologies for linguistic data and metadata collections as well as  
cross-lingual retrieval

4. Descriptions of data sets following Linked Data principles

5. Applications of such data, other ontologies or linked data from any  
subdiscipline of linguistics (may include work in progress or project  
descriptions)

6. Application and applicability of (Linguistic) Linked Open Data in NLP

7. NLP contributions to (Linguistic) Linked Open Data

8. Challenges of multilinguality and the use of LOD and collaboratively  
constructed open resources for knowledge extraction, machine translation  
and other NLP tasks.

9. Legal and social aspects of Linguistic Linked Open Data

10. Best practices for the publication and linking of multilingual  
knowledge resources


Submission & Publication
========================
We accept submission of both *long (up to 8 pages) and short papers (up to  
4 pages)* to be presented as long or short oral presentation at the  
workshop to be submitted via http://www.softconf.com/lrec2014/LDL/. The  
papers of the workshop will be published as online proceedings. In  
addition, we aim for a journal special issue as post-conference  
proceedings in which a selected amount of papers presented at the workshop  
will be published.
When submitting a paper from the START page, authors will be asked to  
provide essential *information about resources* (in a broad sense, i.e.  
also technologies, standards, evaluation kits, etc.) that have been used  
for the work described in the paper or are a new result of your research.  
Moreover, ELRA encourages all LREC authors to *share the described LRs*  
(data, tools, services, etc.), to enable their reuse, replicability of  
experiments, including evaluation ones, etc. If this data (or parts of it)  
are provided as Linked Data, then please also consider to participate in  
the *Linguistic Linked Data Challenge* (http://ldl2014.org/challenge.html).
For contact data, stylesheets, up-to-date details on submission and the  
workshop itself, please consult our website: http://ldl2014.org.



Timeline
========
Fri, Feb 7, 2014:  Submission deadline
Fri, Mar 7, 2014:  Notification of acceptance
Fri, Mar 21, 2014: Camera-ready paper
Tue, May 27, 2014: Workshop

Please note that due to synchronization with the main conference, NO  
EXTENSIONS can be given.


Organizers
==========
Christian Chiarcos (Goethe-Universität Frankfurt am Main, Germany)
John McCrae (Universität Bielefeld, Germany)
Elena Montiel (Universidad Politécnica de Madrid, Spain)
Kiril Simov (Bulgarian Academy of Sciences, Sofia, Bulgaria)
Antonio Branco (University of Lisbon, Portugal)
Nicoletta Calzolari (ILC-CNR, Italy)
Petya Osenova (University of Sofia, Bulgaria),
Milena Slavcheva (JRC-Brussels, Belgium)
Cristina Vertan (University of Hamburg, Germany)


Program Committee
=================
Eneko Agirre (University of the Basque Country, Spain)
Guadalupe Aguado (Universidad Politécnica de Madrid, Spain)
Peter Bouda (Interdisciplinary Centre for Social and Language  
Documentation, Portugal)
Steve Cassidy (Macquarie University, Australia)
Damir Cavar (Eastern Michigan University)
Eric Charton (Ecole Polytechnique de Montréal, Canada)
Walter Daelemans (University of Antwerp, Belgium)
Ernesto William De Luca (University of Applied Sciences Potsdam, Germany)
Gerard de Melo (University of California at Berkeley)
Thierry Declerck (Deutsches Forschungszentrum für Künstliche Intelligenz,  
Germany)
Dongpo Deng (Institute of Information Sciences, Academia Sinica, Taiwan)
Alexis Dimitriadis (Universiteit Utrecht, The Netherlands)
Jeff Good (University at Buffalo)
Asunción Gómez Pérez (Universidad Politécnica de Madrid, Spain)
Jorge Gracia (Universidad Politécnica de Madrid, Spain)
Walther v. Hahn (University of Hamburg, Germany)
Eva Hajicova (Charles University Prague, Czech Republic)
Harald Hammarström (Radboud Universiteit Nijmegen, The Netherlands)
Yoshihiko Hayashi (Osaka University, Japan)
Sebastian Hellmann (Universität Leipzig, Germany)
Dominic Jones (Trinity College Dublin, Ireland)
Lutz Maicher (Universität Leipzig, Germany)
Pablo Mendes (Open Knowledge Foundation Deutschland, Germany)
Steven Moran (Universität Zürich, Switzerland/Ludwig Maximilian  
University, Germany)
Sebastian Nordhoff (Max Planck Institute for Evolutionary Anthropology,  
Leipzig, Germany)
Antonio Pareja-Lora (Universidad Politécnica de Madrid, Spain)
Maciej Piasecki (Wroclaw University of Technology, Poland)
Adam Przepiorkowski (IPAN, Polish Academy of Sciences)
Laurent Romary (INRIA, France)
Felix Sasaki (Deutsches Forschungszentrum für Künstliche Intelligenz,  
Germany)
Andrea Schalley (Griffith University, Australia)
Marco Tadic (University of Zagreb, Croatia)
Marieke van Erp (VU University Amsterdam, The Netherlands)
Daniel Vila (Universidad Politécnica de Madrid, Spain)
Menzo Windhouwer (Max Planck Institute for Psycholinguistics, Nijmegen,  
The Netherlands)


References
==========

[1] Chiarcos, C., J. McCrae, P. Cimiano, C. Fellbaum (2013), Towards open  
data for linguistics: Lexical Linked Data. In: Oltramari et al. (eds.)   
New Trends of Research in Ontologies and Lexical Resources. Springer,  
Heidelberg.

[2] Chiarcos, C., S. Nordhoff, S. Hellmann (2012, eds.), Linked Data in  
Linguistics. Representing and Connecting Language Data and Language  
Metadata, Springer, Heidelberg.

[3] Oltramari, A., P. Vossen, L. Qin, L., E. Hovy (2013, eds.), New Trends  
of Research in Ontologies and Lexical Resources, Springer, Heidelberg.

-- 
Christian Chiarcos
Applied Computational Linguistics
Johann Wolfgang Goethe Universität Frankfurt a. M.
60054 Frankfurt am Main, Germany

office: Robert-Mayer-Str. 10, #401b
mail: chiarcos@informatik.uni-frankfurt.de
web: http://acoli.cs.uni-frankfurt.de
tel: +49-(0)69-798-22463
fax: +49-(0)69-798-28931