[Corpora-List] LREC 2014: First CFP: 3rd Workshop on Linked Data in Linguistics - Multilingual Knowledge Resources and NLP

Wed Dec 18 13:35:14 UTC 2013

Apologies for cross-posting
==============================================================================First 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 andiii) 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 linguistic information.    - Reuses relevant standards and models.    - Contains 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.
Details of the challenge will be announced in a separate call for  contributions, 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. 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===========Submission deadline: Fri, Feb 7, 2014Notification of acceptance: Fri, Mar 7, 2014Camera-ready paper: Fri, Mar 21, 2014Workshop: Tue, May 27, 2014Please 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)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)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.

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