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1st Call for Papers: Semantic Web Journal Special Issue "Latest Advancements in Linguistic Linked Data"

From: Julia Bosque Gil <jbosque@unizar.es>
Date: Mon, 20 Jul 2020 12:20:47 +0200
Message-ID: <CA+B92Mvq3ZjdR--=UcJrCHUJ8xsGS2NYJkp6Mtiwr+spRX3kgA@mail.gmail.com>
To: Julia Bosque Gil <jbosque@unizar.es>
 Apologies for cross-posting

Call for papers: Special Issue on
*Latest Advancements in Linguistic Linked Data*
Contact email: swjadvancementslld@googlegroups.com
Deadline: 20th of November, 2020

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.

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

   - Knowledge Representation for Linguistic Data
      - Ontologies, vocabularies and linguistic category registries for
      linguistic data
      - Representation languages for linguistic data as LLD
      - Modelling challenges with state-of-the-art LLD models (e.g.
      - Use case-based representation requirements for LLD
      - Ontology engineering for linguistic data representation: building,
      evaluation, evolution, alignment and reuse of ontologies for
      linguistics and NLP
   - LLD Generation and Evolution
      - Methodologies and workflows for LLD generation
      - Diachronic and sociolinguistic approaches to LLD generation and
      - Innovative approaches to automatic LLD generation
      - Technically robust and systematically evaluated LLD resources
      - LLD for under-resourced and underrepresented languages and domains
      - Linking LLD sets across multiple dimensions and levels of
      linguistic description
      - LLD quality evaluation and resource curation
      - LLD extension, enrichment and evolution
   - LLD Publication, Querying and Visualization
      - Publication and metadata
      - IPR, licensing and privacy issues
      - LLD specific query techniques and languages
      - Supporting interfaces for different steps of the LLD lifecycle
      - Visualization of LLD
   - LLD and NLP research
      - LLD for NLP and NLP for LLD
      - Integration, exploitation and added value of LLD technologies and
      interoperable linguistic resources in NLP systems
      - LLD in Deep Learning-based NLP approaches
      - LLD in Big Data contexts
   - Applications and Use Cases
      - Automatic approaches for different steps of the LLD lifecycle
      - Knowledge extraction and representation from linguistic resources
      - LLD for research in specific domains (e.g. linguistics, digital
      humanities, life sciences, law, journalism, etc.)
      - LLD specific features and requirements from domain experts

DeadlineSubmission deadline: 20th of November, 2020. Papers submitted
before the deadline will be reviewed upon receipt.

*Guest editors*

The guest editors can be reached at swjadvancementslld@googlegroups.com .

Julia Bosque-Gil, University of Zaragoza, Spain
Milan Dojchinovski, Czech Technical University in Prague, Czech Republic
Marieke van Erp, KNAW Humanities Cluster, Amsterdam, Netherlands
Christian Chiarcos, Goethe Universität Frankfurt, Germany
Philipp Cimiano, Bielefeld University, Germany

Julia Bosque-Gil
Aragon Institute of Engineering Research (I3A)
University of Zaragoza
Pronouns: she/her

de virus. www.avast.com
Received on Monday, 20 July 2020 10:21:13 UTC

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