<div dir="ltr">
<div>Apologies for cross-posting <br></div><div><br></div><div>======<br>Final Call for Papers: Special Issue on<br><b>Latest Advancements in Linguistic Linked Data</b></div><div><a href="http://www.semantic-web-journal.net/blog/call-papers-special-issue-latest-advancements-linguistic-linked-data" target="_blank">http://www.semantic-web-journal.net/blog/call-papers-special-issue-latest-advancements-linguistic-linked-data<br></a></div><div>Contact email:
<a href="mailto:swjadvancementslld@googlegroups.com" target="_blank">swjadvancementslld@googlegroups.com</a>
</div><div>
<b><span style="color:rgb(255,0,0)">Deadline: 25th of January, 2021 (extended)</span>
</b><br>======<br><br></div><div>
In recent years, various efforts have arisen with regard to the
representation and publication of linguistic resources such as lexicons,
dictionaries, corpora, terminologies and linguistic ontologies. These
efforts have exploited Semantic Web technologies and the Linguistic
Linked Data (LLD) publication paradigm to facilitate and enhance the
discovery, interoperability, integration and reusability of language
resources. Initiatives such as the H2020 projects ELEXIS and Prêt-à-LLOD
and the COST Action NexusLinguarum aim at developing robust ecosystems
and networks of experts to address the LLD lifecycle, from identifying
the requirements concerning the representation of linguistic resources
to their exploitation by natural language processing (NLP) applications.
With the rapid growth of the Linguistic Linked Open Data (LLOD) cloud
and the increasing interest in the use of linked data for NLP, new
challenges emerge concerning particular use cases and domain
applications, language-specific features and quality dimensions, the
evolution of LLD resources throughout time and the leverage of
linguistic resources along LD technologies in NLP research, among other
diverse aspects.
<br><br>This special issue on the latest advancements in LLD invites
high-quality contributions, supported by a robust evaluation, which
present an advancement in the state-of-the-art in the field of LLD
methodologies and technologies and their use for NLP and provide
insights into the new challenges ahead. The list of topics includes, but
is not limited to, the following:
<ul><li>Knowledge Representation for Linguistic Data</li><ul><li>Ontologies, vocabularies and linguistic category registries for linguistic data
</li><li>Representation languages for linguistic data as LLD
</li><li>Modelling challenges with state-of-the-art LLD models (e.g. OntoLex-Lemon)
</li><li>Use case-based representation requirements for LLD
</li><li>Ontology engineering for linguistic data representation: building,
evaluation, evolution, alignment and reuse of ontologies for
computational linguistics and NLP
</li></ul><li>LLD Generation and Evolution </li><ul><li>Methodologies and workflows for LLD generation
</li><li>Diachronic and sociolinguistic approaches to LLD generation and evolution
</li><li>Innovative approaches to automatic LLD generation
</li><li>Technically robust and systematically evaluated LLD resources
</li><li>LLD for under-resourced and underrepresented languages and domains
</li><li>Linking LLD sets across multiple dimensions and levels of linguistic description
</li><li>LLD quality evaluation and resource curation
</li><li>LLD extension, enrichment and evolution
</li></ul><li>LLD Publication, Querying and Visualization</li><ul><li>Publication and metadata
</li><li>IPR, licensing and privacy issues
</li><li>LLD specific query techniques and languages
</li><li>Supporting interfaces for different steps of the LLD lifecycle
</li><li>Visualization of LLD
</li></ul><li>LLD and NLP research </li><ul><li>LLD for NLP and NLP for LLD
</li><li>Integration, exploitation and added value of LLD technologies and interoperable linguistic resources in NLP systems
</li><li>LLD in Deep Learning-based NLP approaches
</li><li>LLD in Big Data contexts
</li></ul><li>Applications and Use Cases</li><ul><li>Automatic approaches for different steps of the LLD lifecycle
</li><li>Knowledge extraction and representation from linguistic resources
</li><li>LLD for research in specific domains (e.g. linguistics, digital humanities, life sciences, law, journalism, etc.)
</li><li>LLD specific features and requirements from domain experts
</li></ul></ul>
<h2><font size="2">Deadline</font></h2>Submission deadline:<strike> 20th of November, 2020</strike>
<span style="color:rgb(255,0,0)">25th of January, 2021 (extended)</span>. Papers submitted before the deadline will be reviewed upon receipt.
</div><div><br>
<h2><font size="2">Guest editors</font></h2>
<p>The guest editors can be reached at <a href="mailto:swjadvancementslld@googlegroups.com" target="_blank">swjadvancementslld@googlegroups.com</a> .</p>
<p>Julia Bosque-Gil, University of Zaragoza, Spain<br>
Milan Dojchinovski, Czech Technical University in Prague, Czech Republic<br>
Marieke van Erp, KNAW Humanities Cluster, Amsterdam, Netherlands<br>
Christian Chiarcos, Goethe Universität Frankfurt, Germany<br>
Philipp Cimiano, Bielefeld University, Germany</p></div><font color="#888888">
</font>
<br clear="all"><br>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><span style="text-align:left" dir="ltr">Julia Bosque-Gil <br></span></div><div dir="ltr"><span style="text-align:left" dir="ltr">Aragon Institute of Engineering Research (I3A)</span></div><div dir="ltr"><span style="text-align:left" dir="ltr">University of Zaragoza<br></span></div><div><span style="text-align:left" dir="ltr">Pronouns: </span><span style="text-align:left" dir="ltr">she/her</span><br><span style="text-align:left" dir="ltr"></span></div></div></div></div></div><div id="DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2"><br> <table style="border-top:1px solid #d3d4de">
<tr>
<td style="width:55px;padding-top:18px"><a href="https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail" target="_blank"><img src="https://ipmcdn.avast.com/images/icons/icon-envelope-tick-round-orange-animated-no-repeat-v1.gif" alt="" width="46" height="29" style="width: 46px; height: 29px;"></a></td>
<td style="width:470px;padding-top:17px;color:#41424e;font-size:13px;font-family:Arial,Helvetica,sans-serif;line-height:18px">Libre de virus. <a href="https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail" target="_blank" style="color:#4453ea">www.avast.com</a> </td>
</tr>
</table>
<a href="#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2" width="1" height="1"></a></div>