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<body class='hmmessage'><div dir='ltr'><div>Apologies for cross-posting</div><div><br></div><div>==============================================================================</div><div>First Call for Papers</div><div><br></div><div>3rd Workshop on LINKED DATA IN LINGUISTICS (LDL-2014): <span style="font-size: 12pt;">Multilingual Knowledge Resources and Natural Language Processing</span></div><div><br></div><div>Tuesday, May 27, 2014, Reykjavik (Iceland)</div><div><br></div><div>Collocated with the 9th Language Resources and Evaluation Conference </div><div>(LREC-2014)</div><div><br></div><div>http://ldl2014.org/</div><div><br></div><div>================================================================================</div><div><br></div><div><br></div><div>The explosion of information technology has led to a substantial </div><div>growth in quantity, diversity and complexity of linguistic data </div><div>accessible on the Web. The lack of interoperability between linguistic </div><div>and language resources represents a major challenge that needs to be </div><div>addressed, in particular, if information from different sources is to </div><div>be combined, such as machine-readable lexicons, corpus data and </div><div>terminology repositories. The Linked Data in Linguistics (LDL) </div><div>workshop series provides a forum to discuss these types of resources, </div><div>strategies to address issues of interoperability between them, </div><div>protocols to distribute, access and integrate this information and </div><div>technologies and infrastructures developed on this basis.</div><div><br></div><div>The goal of the workshop is twofold. First, we will assemble </div><div>researchers from various fields of linguistics, natural language </div><div>processing, knowledge management and information technology to present </div><div>and discuss principles, case studies, and best practices for </div><div>representing, publishing and linking mono- and multilingual </div><div>linguistic and knowledge data collections, including corpora, </div><div>grammars, dictionaries, wordnets, translation memories, domain </div><div>specific ontologies etc. In this sense, we particularly invite </div><div>contributions discussing the application of the Linked Open Data </div><div>paradigm to linguistic data as it might provide an important step </div><div>towards making linguistic data:</div><div>i) easily and uniformly queryable,</div><div>ii) interoperable and</div><div>iii) sharable over the Web using open standards such as the HTTP </div><div>protocol and the RDF data model [1].</div><div><br></div><div>The adaptation of some processes and best practices to multilingual </div><div>linguistic resources and knowledge bases acquires also new relevance </div><div>in this context. Some processes may need to be modified to accommodate </div><div>the publication of resources that contain information in several </div><div>languages. Also the linking process between linguistic resources in </div><div>different languages poses important research questions, as well as the </div><div>development and application of freely available knowledge bases and </div><div>crowdsourcing to compensate the lack of publicly accessible language </div><div>resources for various languages.</div><div><br></div><div>Secondly, we will provide researchers on natural language processing </div><div>and semantic web technologies a platform to present case studies and </div><div>best practices on the exploitation of linguistic resources exposed on </div><div>the Web for Natural Language Processing applications, or other </div><div>content-centered applications such as content analytics, knowledge </div><div>extraction, etc. The availability of massive linked open knowledge </div><div>resources raises the question how such data can be suitably employed </div><div>to facilitate different NLP tasks and research questions. Following </div><div>the tradition of earlier LDL workshops, we encourage contributions to </div><div>the Linguistic Linked Open Data (LLOD) cloud [2] and research on this </div><div>basis. In particular, this pertains to contributions that demonstrate </div><div>an added value resulting from the combination of linked datasets and </div><div>ontologies as a source for semantic information with linguistic </div><div>resources published according to as linked data principles. Another </div><div>important question to be addressed in the workshop is how Natural </div><div>Language Processing techniques can be employed to further facilitate </div><div>the growth and enrichment of linguistic resources on the Web.</div><div><br></div><div>The intended audience includes linguists, NLP engineers and </div><div>researchers from any field of computer science interested in the </div><div>application of Semantic Web formalisms and related technologies to </div><div>language data, empirically-working linguists and lexicographers </div><div>interested in the representation, exchange and interlinking of </div><div>knowledge resources, linguistic data and metadata, and developers of </div><div>infrastructures for linguistic data and other researchers with an </div><div>interest in both aspects.</div><div><br></div><div>Background and History</div><div>=========================</div><div>This workshop brings together two community efforts, the Open </div><div>Linguistics Working Group of the Open Knowledge Foundation (OWLG), and </div><div>the W3C Ontology-Lexica Community Group. LDL-2014 is also supported by </div><div>a recently started EU Support Action: LIDER (Linked Data as an enabler </div><div>of cross-media and multilingual content analytics for enterprises </div><div>across Europe), which aims to provide an ecosystem for the </div><div>establishment of linguistic linked open data, as well as media </div><div>resources metadata, for a free and open exploitation of such resources </div><div>in multilingual, cross-media content analytics across Europe.</div><div><br></div><div>The workshop is continuing a series of workshops on the application of </div><div>the Linked Data paradigm to linguistic data that have been initiated </div><div>and organized by the Open Linguistics Working Group: The First </div><div>Workshop on Linked Data in Linguistics (LDL-2012) was conducted in </div><div>March 2012 at the University of Frankfurt am Main/Germany, and </div><div>collocated with the 34th Annual Meeting of the German Linguistics </div><div>Society (DGfS-2012). The Workshop on Multilingual Linked Open Data for </div><div>Enterprises (MLODE-2012) was conducted in September 2012 at the </div><div>University of Leipzig/Germany, and collocated with the 3rd Conference </div><div>on Software Agents and Services for Business, Research and E-Science </div><div>(SABRE-2012). The Second Workshop on Linked Data in Linguistics </div><div>(LDL-2013) was conducted in Sep 2013 at CNR in Pisa/Italy, and </div><div>collocated with the 6th International Conference on the Generative </div><div>Lexicon (GL2013).</div><div><br></div><div><br></div><div>Linguistic Linked Data Challenge</div><div>==================================</div><div>There is a data challenge associated to the Linguistic Linked Data </div><div>Workshop. In addition to regular workshop papers, we will accept </div><div>dataset description of 4-6 pages describing new linguistic dataset </div><div>published on the web as linked data. These linguistic datasets </div><div>include, but are not limited to, lexica, terminologies, semantic </div><div>networks, annotated and parallel corpora, multimodal resources, </div><div>typological databases and linguistic metadata. The data challenge </div><div>committee will review and evaluate data according to four dimensions, </div><div>with prizes of up to -700, funded by the LIDER project, awarded to the </div><div>highest scoring datasets.</div><div>The criteria for the Linguistic Linked Data Challenge include:</div><div><br></div><div>- Availability</div><div> - Use of Linked Data and RDF.</div><div> - Hosted on a publicly accessible server and be available both </div><div>during the period of the evaluation and beyond.</div><div> - Use of an open license.</div><div>- Quality of Resource</div><div> - Represents useful linguistic information.</div><div> - Reuses relevant standards and models.</div><div> - Contains multiple levels of annotation.</div><div>- Linking</div><div> - Links to external resources.</div><div> - Reuse of existing properties and categories.</div><div>- Impact/usefulness of the resource</div><div> - Relevant and likely to be reused by many researchers in NLP and </div><div>wider fields.</div><div> - Uses linked data to improve the quality of and access to the resource.</div><div><br></div><div>Details of the challenge will be announced in a separate call for </div><div>contributions, see http://ldl2014.org/challenge.html for up-to-date </div><div>information.</div><div><br></div><div><br></div><div>Topics of interest</div><div>=====================</div><div>We invite contributions related (but not limited) to the following topics:</div><div><br></div><div>1. Use cases and project proposals for the creation, publication or </div><div>application of linguistic data collections that are linked with other </div><div>resources</div><div><br></div><div>2. Modelling linguistic data and metadata with OWL and/or RDF</div><div><br></div><div>3. Ontologies for linguistic data and metadata collections as well as cross-</div><div>lingual retrieval</div><div><br></div><div>4. Descriptions of data sets following Linked Data principles</div><div><br></div><div>5. Applications of such data, other ontologies or linked data from any </div><div>subdiscipline of linguistics (may include work in progress or project </div><div>descriptions)</div><div><br></div><div>6. Application and applicability of (Linguistic) Linked Open Data in NLP</div><div><br></div><div>7. NLP contributions to (Linguistic) Linked Open Data</div><div><br></div><div>8. Challenges of multilinguality and the use of LOD and </div><div>collaboratively constructed open resources for knowledge extraction, </div><div>machine translation and other NLP tasks.</div><div><br></div><div>9. Legal and social aspects of Linguistic Linked Open Data</div><div><br></div><div>10. Best practices for the publication and linking of multilingual </div><div>knowledge resources</div><div><br></div><div>Submission & Publication</div><div>==========================</div><div>We accept submission of both long (up to 8 pages) and short papers (up </div><div>to 4 pages) to be presented as long or short oral presentation at the </div><div>workshop. The papers of the workshop will be published as online </div><div>proceedings. In addition, we aim for a journal special issue as </div><div>post-conference proceedings in which a selected amount of papers </div><div>presented at the workshop will be published.</div><div>When submitting a paper from the START page, authors will be asked to </div><div>provide essential information about resources (in a broad sense, i.e. </div><div>also technologies, standards, evaluation kits, etc.) that have been </div><div>used for the work described in the paper or are a new result of your </div><div>research. Moreover, ELRA encourages all LREC authors to share the </div><div>described LRs (data, tools, services, etc.), to enable their reuse, </div><div>replicability of experiments, including evaluation ones, etc. If this </div><div>data (or parts of it) are provided as Linked Data, then please also </div><div>consider to participate in the Linguistic Linked Data Challenge </div><div>(http://ldl2014.org/challenge.html).</div><div>For contact data, stylesheets, up-to-date details on submission and </div><div>the workshop itself, please consult our website: http://ldl2014.org.</div><div><br></div><div><br></div><div><br></div><div>Timeline</div><div>===========</div><div>Submission deadline: Fri, Feb 7, 2014</div><div>Notification of acceptance: Fri, Mar 7, 2014</div><div>Camera-ready paper: Fri, Mar 21, 2014</div><div>Workshop: Tue, May 27, 2014</div><div>Please note that due to synchronization with the main conference, NO </div><div>EXTENSIONS can be given.</div><div><br></div><div><br></div><div><br></div><div>Organizers</div><div>===============</div><div><br></div><div>Christian Chiarcos (Goethe-Universität Frankfurt am Main, Germany)</div><div>John McCrae (Universität Bielefeld, Germany)</div><div>Elena Montiel (Universidad Politécnica de Madrid, Spain)</div><div>Kiril Simov (Bulgarian Academy of Sciences, Sofia, Bulgaria)</div><div>Antonio Branco (University of Lisbon, Portugal)</div><div>Nicoletta Calzolari (ILC-CNR, Italy)</div><div>Petya Osenova (University of Sofia, Bulgaria),</div><div>Milena Slavcheva (JRC-Brussels, Belgium)</div><div>Cristina Vertan (University of Hamburg, Germany)</div><div><br></div><div><br></div><div>Program Committee</div><div>====================</div><div><br></div><div>Eneko Agirre (University of the Basque Country, Spain)</div><div>Guadalupe Aguado (Universidad Politécnica de Madrid, Spain)</div><div>Peter Bouda (Interdisciplinary Centre for Social and Language </div><div>Documentation, Portugal)</div><div>Steve Cassidy (Macquarie University, Australia)</div><div>Damir Cavar (Eastern Michigan University)</div><div>Eric Charton (Ecole Polytechnique de Montréal, Canada)</div><div>Walter Daelemans (University of Antwerp, Belgium)</div><div>Ernesto William De Luca (University of Applied Sciences Potsdam, Germany)</div><div>Gerard de Melo (University of California at Berkeley)</div><div>Thierry Declerck (Deutsches Forschungszentrum für Künstliche </div><div>Intelligenz, Germany)</div><div>Dongpo Deng (Institute of Information Sciences, Academia Sinica, Taiwan)</div><div>Alexis Dimitriadis (Universiteit Utrecht, The Netherlands)</div><div>Jeff Good (University at Buffalo)</div><div>Asunción Gómez Pérez (Universidad Politécnica de Madrid, Spain)</div><div>Jorge Gracia (Universidad Politécnica de Madrid, Spain)</div><div>Walther v. Hahn (University of Hamburg, Germany)</div><div>Eva Hajicova (Charles University Prague, Czech Republic)</div><div>Harald Hammarström (Radboud Universiteit Nijmegen, The Netherlands)</div><div>Yoshihiko Hayashi (Osaka University, Japan)</div><div>Sebastian Hellmann (Universität Leipzig, Germany)</div><div>Dominic Jones (Trinity College Dublin, Ireland)</div><div>Lutz Maicher (Universität Leipzig, Germany)</div><div>Pablo Mendes (Open Knowledge Foundation Deutschland, Germany)</div><div>Steven Moran (Universität Zürich, Switzerland/Ludwig Maximilian </div><div>University, Germany)</div><div>Sebastian Nordhoff (Max Planck Institute for Evolutionary </div><div>Anthropology, Leipzig, Germany)</div><div>Maciej Piasecki (Wroclaw University of Technology, Poland)</div><div>Adam Przepiorkowski (IPAN, Polish Academy of Sciences)</div><div>Laurent Romary (INRIA, France)</div><div>Felix Sasaki (Deutsches Forschungszentrum für Künstliche Intelligenz, Germany)</div><div>Andrea Schalley (Griffith University, Australia)</div><div>Marco Tadic (University of Zagreb, Croatia)</div><div>Marieke van Erp (VU University Amsterdam, The Netherlands)</div><div>Daniel Vila (Universidad Politécnica de Madrid)</div><div>Menzo Windhouwer (Max Planck Institute for Psycholinguistics, </div><div>Nijmegen, The Netherlands)</div><div><br></div><div><br></div><div>References</div><div>============</div><div>[1] Chiarcos, C., J. McCrae, P. Cimiano, C. Fellbaum (2013), Towards </div><div>open data for linguistics: Lexical Linked Data. In: Oltramari et al. </div><div>(eds.) New Trends of Research in Ontologies and Lexical Resources. </div><div>Springer, Heidelberg.</div><div><br></div><div>[2] Chiarcos, C., S. Nordhoff, S. Hellmann (2012, eds.), Linked Data </div><div>in Linguistics. Representing and Connecting Language Data and Language </div><div>Metadata, Springer, Heidelberg.</div><div><br></div><div>[3] Oltramari, A., P. Vossen, L. Qin, L., E. Hovy (2013, eds.), New </div><div>Trends of Research in Ontologies and Lexical Resources, Springer, </div><div>Heidelberg.</div><div><br></div><div><br></div> </div></body>
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