26.5462, Calls: Computational Linguistics/Slovenia

Tue Dec 8 16:00:37 UTC 2015

LINGUIST List: Vol-26-5462. Tue Dec 08 2015. ISSN: 1069 - 4875.

Subject: 26.5462, Calls: Computational Linguistics/Slovenia

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Date: Tue, 08 Dec 2015 11:00:30
From: Petya Osenova [petya at bultreebank.org]
Subject: 5th Workshop on Linked Data in Linguistics: Managing, Building and Using Linked

Full Title: 5th Workshop on Linked Data in Linguistics: Managing, Building and Using Linked 
Short Title: LDL-2016 

Date: 24-May-2016 - 24-May-2016
Location: Portorož, Slovenia 
Contact Person: John McCrae
Meeting Email: john at mccr.ae
Web Site: http://ldl2016.linguistic-lod.org/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 08-Feb-2016 

Meeting Description:

Publishing language resources under open licenses and linking them together has been an area of increasing interest in academic circles, including applied linguistics, lexicography, natural language processing and information technology. It facilitates the exchange of knowledge and information across disciplines as well as between academia and the IT business. By collocating the 5th edition of the workshop series with LREC 2016, we encourage this interdisciplinary community to present and to discuss use cases, experiences, best practices, recommendations and technologies among each other and in interaction with the language resource community. 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.

While it has been shown that Linked Data has significant value for the management of language resources in the Web, the practice is still far from being an accepted standard in the community. Thus, it is important that we continue to push the development and adoption of Linked Data technologies among creators of language resources. In particular, Linked Data's ability to increase the quality, interoperability and availability of data on the Web has lead us to focus on managing, improving and using language resources on the Web as a key focus for this year's workshop.

Call for Papers:

We invite presentations of algorithms, methodologies, experiments, use cases, project proposals and position papers regarding the creation, publication or application of linguistic data collections and their linking with other resources, as well as descriptions of such data. This includes, but is not limited to, the following:

* Building linked language resources
** Novel vocabularies for describing linguistic objects using RDF.
** Metrics and methodologies to develop linked language resources on the Web.
** Natural language processing methods to enhance Linked Open Data.
* Managing linked language resources 
** Creating, maintaining and accessing language resource infrastructures based on Linked Data.
** Metadata linking and curation for language resources on the Web.
** Best practices for publication and linking of multilingual knowledge resources.
* Using linked language resources
** Application of Linked Open Data for linguistics, digital humanities and natural language processing.
** Addressing challenges of scalability, multilinguality and interoperability in the Web.
** Legal, social and scientific aspects of Linguistic Linked Open Data.

We invite both long (8 pages plus 2 pages of references, formatted according to the LREC guidelines) and short papers (4 pages plus 2 pages of references) representing original research, innovative approaches and resource types, use cases or in-depth discussions. Short papers may also represent project proposals, work in progress or data set descriptions. Papers will be published as part of the LREC workshop proceedings and presented as oral or poster presentations, as appropriate.

Datasets:

We encourage submission of datasets and ask that these resources are included in the LLOD cloud (instructions can be found here). As such we require that datasets are either described in Datahub with sufficient metadata to be added to the cloud. In addition, as part of the LREC conference your resource will be described in the LRE Map and assigned an International Standard Language Resource Number (ISLRN, www.islrn.org), a Persistent Unique Identifier to be assigned to each Language Resource.

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