[open-linguistics] Call for Participation: 3rd Summer Datathon on Linguistic Linked Open Data (SD-LLOD-19, Schloss Dagstuhl, Wadern, Germany, May 12-17))
christian.chiarcos at web.de
Sun Jan 20 17:19:26 UTC 2019
please find below the call for participation at the 3rd Summer Datathon on
Linguistic Linked Open Data (SD-LLOD-19, Schloss Dagstuhl, Wadern, Germany,
May 12-17). Apologies for cross-posting.
Prof. Dr. Christian Chiarcos
Applied Computational Linguistics
Johann Wolfgang Goethe Universität Frankfurt a. M.
60054 Frankfurt am Main, Germany
office: Robert-Mayer-Str. 11, #107
mail: chiarcos at informatik.uni-frankfurt.de
*The 3rd Summer Datathon on Linguistic Linked Open Data (SD-LLOD-19)* will
be held from May 12 to 17, 2019 in Schloss Dagstuhl – Leibniz Center for
Informatics, Wadern, Germany (see http://datathon2019.linguistic-lod.org).
SD-LLOD-19 is organized in conjunction with and held before the 2nd
Conference on Language, Data and Knowledge (LDK-2019), May 20-22, Leipzig,
The SD-LLOD datathon has the main goal of giving people from industry and
academia practical knowledge in the field of Linked Data and its
application to natural language data and natural language annotations, from
areas as diverse as knowledge engineering, lexicography, the language
sciences, natural language processing and computational philology.
We provide tutorials and supervision by leading experts on Linked Open Data
and its application to language resources, human language technology and
the language sciences. The final aim is to enable participants to migrate
their own linguistic data and publish them as Linked Data on the Web.
The SD-LLOD datathon is unique in its specialization worldwide and
continues a series of international hackathons and summer schools organized
since 2012. This edition is supported by several international projects
addressing different aspects of natural language processing, lexicography
and digital humanities: The Research Group “Linked Open Dictionaries (LiODi)
<http://www.acoli.informatik.uni-frankfurt.de/liodi/>”, funded by the
German Federal Ministry of Education and Research (BMBF), the Horizon 2020
Research and Innovation Action “Prêt-à-LLOD. Ready-to-use Multilingual
Linked Language Data for Knowledge Services across Sectors
<http://www.pret-a-llod.eu/>” and the Horizon 2020 Research and Innovation
Action “ELEXIS. European Lexicographic Infrastructure <https://elex.is/>”.
During the datathon, participants will:
- Generate and publish their own Linguistic Linked (Open) Data from some
existing data sources or existing tools.
- Apply Linked Data principles and Semantic Web technologies
(Ontologies, RDF, Linked Data) to language resources and human language
- Use the principal models for representing Linguistic Linked Open Data,
in particular Ontolex-Lemon <https://www.w3.org/2016/05/ontolex/>, Web
Annotation <https://www.w3.org/blog/news/archives/6156> and knowledge
representation vocabularies such as SKOS and OWL.
- Gather experiences with terminology resources developed for or used in
the Linguistic Linked Open Data context, such as lexvo
<http://www.lexvo.org/>, lexinfo <http://lexinfo.net/>, OLiA
<http://purl.org/olia/> and GOLD <http://linguistics-ontology.org/>.
- Learn about multilingual dataset linking against knowledge bases from
the Web of Data, such as DBpedia <http://dbpedia.org/> or BabelNet
- Learn about benefits and applications of linguistic linked data for
specific use cases.
The program of the summer datathon will contain three types of sessions:
1. *Seminars *to show novel aspects and discuss selected topics.
2. *Practical sessions* to introduce the basic foundations of each
topic, methods, and technologies and where participants will perform
different tasks using the methods and technologies presented.
3. *Hacking sessions,* where participants will follow the whole process
of generating and publishing Linguistic Linked Data with some existing data
In addition to participation, attendants are invited to propose a
miniproject related to the topic and to bring to the datathon some dataset
of linguistic data produced by their organizations to work with during the
hacking sessions and transform into linked data. Participants who cannot
provide their own linguistic dataset can join another’s miniproject or some
of the ones proposed by the organisers. There will be an award to the best
Participants should bring their own laptops to follow and participate in
the hacking sessions, they will be provided with digital copies of all
necessary material used during the course and will have assistance for
installing all the required software.
Gerard de Melo <http://gerard.demelo.org/>, Director of the Deep Data Lab,
Department of Computer Science, Rutgers University, New Jersey
Richard Eckart de Castilho
Ubiquitous Knowledge Processing (UKP) Lab, Department of Computer Science,
Technische Universität Darmstadt, Germany
How to Apply
We invite scholars, students and practitioners from any field of
lexicography, the language sciences, natural language processing, knowledge
engineering, and computational philology to apply for participation. For
further details on fees, the registration process, information on the
venue, the program and points of contact, please see under
Participants are encouraged to submit a short abstract of their ideas for
the datathon (description of possible resources to be converted, linked or
reused during the datathon, ideas for use cases, etc.). A selection of them
will be presented during the event and proposed as miniprojects to be
developed during the datathon. Registration will open on January 25 and
close on April 4, 2019. Please note that the number of participants is
strictly limited, so we encourage to apply as soon as possible.
Registration opens: January 25, 2019
Registration closes: April 4, 2019
Notification: April 12, 2019
Datathon: May 12 to 17, 2019Organizers
Christian Chiarcos <http://acoli.informatik.uni-frankfurt.de/en.html> (Goethe
Universität Frankfurt, Germany)
Jorge Gracia <http://jogracia.url.ph/web/> (University of Zaragoza, Spain)
John P. McCrae <https://john.mccr.ae/> (Insight Centre for Data Analytics,
NUI Galway, Ireland)
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