Call for Applications for the 14th INTERNATIONAL REASONING WEB SUMMER SCHOOL

Dear All,


Please find below Call for Applications for the 14th INTERNATIONAL REASONING  WEB SUMMER SCHOOL - RW2018 to be held in Luxembourg as part of Luxembourg Logic for AI Summit (LuxLogAI, https://luxlogai.uni.lu)


For further information visit https://luxlogai.uni.lu/


Please feel free to circulate.


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Call for Applications


THE 14th INTERNATIONAL REASONING WEB SUMMER SCHOOL - RW 2018

Luxembourg, 22 - 25 Sep 2018

http://2018.ruleml-rr.org/rw.html


The Reasoning Web Summer School 2018, as part of the annual series of summer schools, welcomes applications from Master and PhD students as well postdoctoral researchers, young researchers, and senior researchers wishing to learn about the research areas of Semantic Web and related sub-areas such as Linked Data and Knowledge Graphs, Ontologies, Rules, and Logic.


Participants to the summer school will have the opportunity to attend lectures, to be involved in working groups concerning small case studies or research tasks to focus on and to be presented in a final plenary session, discuss ideas and closely interact with leading researchers in the Semantic Web community and beyond.


This year school program will include the following topics and lecturers (additional names will come shortly, whilst the final school program will be available at: http://2018.ruleml-rr.org/rw.html)


  *   Information Extraction for Knowledge Graph Construction - Philipp Cimiano, University of Bielefeld

  *   Semantic Data in the Cloud - Steffen Staab and Daniel Janke, University of Koblenz Landau

  *   Machine Learning with and for Knowledge Graphs - Heiko Paulheim, University of Mannheim

  *   Stream Reasoning - Emanuele Della Valle, Politecnico di Milano

  *   Learning and Reasoning in Knowledge Graphs - Daria Stepanova, Max Planck Institute

  *   Normative reasoning for the Semantic Web - Guido Gorvernatori, Commonwealth Scientific and Industrial Research Organisation

  *   Efficient SPARQL queries on very large Knowledge Graphs - Hannah Bast, University of Freiburg


Although no specific background knowledge is required for attending the summer school, basics of knowledge representation and the Semantic Web (including technologies such as RDF, OWL, etc.) will be helpful for benefitting from the contents of school. Students are also committed to a full participation for the whole duration of the school.


REGISTRATION FEES:

  *   The registration fees for attending the RW Summer School will be 450€. This includes lectures and teaching sessions, lunches, coffee breaks, school proceedings and a social event.


STUDENT GRANTS:


  *   A limited number of grants will be available for selected students who would otherwise not be able to attend the summer school. As such, please ask for financial support in your application (see “Application” section) only if this is the necessary condition for you to participate in the summer school.


APPLICATION:


  *   Students and researchers interested in participating at the school needs to submit their application by June 30, 2018 via easychair using the following link: https://easychair.org/conferences/?conf=rw2018.

  *   The application should consist of a single pdf file including:

     *   A single-page CV.

     *   A short motivation letter of up to 300 words stating research interests and reasons for the willingness to attend the summer school.

     *   Necessity for a visa to enter Luxembourg (Yes or No). If required, invitation letters will be set up.

     *   Necessity (and motivation) for financial support. A limited number of grants will be provided, please ask for financial support only if this is the necessary condition for joining the school.

  *   Notifications about the selection results will be sent by July 15, 2018.

  *   For any questions, please contact: rw2018@easychair.org<mailto:rw2018@easychair.org>



RW2018 Chairs

Claudia d’Amato and Martin Theobald


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Schéi Gréiss | Mit Freundlichen Grüßen | Meilleures Salutations | With Kind Regards

Amal Tawakuli
Doctoral Candidate
Big Data and Data Science Research Group - ILIAS Lab - CSC Research Unit

UNIVERSITÉ DU LUXEMBOURG

Campus Belval
6, avenue de la Fonte
L-4364 Esch-sur-Alzette/Belval
T +352 46 66 44 9811
amal.tawakuli@uni.lu<https://owa.uni.lu/owa/redir.aspx?C=gqvT-Fo47D-mezquELAKE3Op6ebmaXZ3zIhdOvU3I6pycuhXLAvVCA..&URL=mailto%3amyriam.streff%40uni.lu>
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