-------- Forwarded Message -------- Subject: [WI] RW 2020 - Call for Applications for the 16th Reasoning Web Summer School Date: Sun, 26 Apr 2020 22:22:08 +0200 From: manna@mat.unical.it Reply-To: manna@mat.unical.it To: wi@aifb.uni-karlsruhe.de
[apologies for multiple postings]
=================================================================
****************************************************** CALL FOR APPLICATIONS
The 16th Reasoning Web Summer School (RW 2020) 24-26 June, 2020 Virtual event (free registration)
https://2020.declarativeai.net/events/rw-summer-school
Part of "Declarative AI 2020: Rules, Reasoning, Decisions and Explanations" (DeclarativeAI 2020, https://2020.declarativeai.net) ******************************************************
The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate (PhD or MSc) students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. In 2020, the broad theme of the school is:
“Declarative Artificial Intelligenceâ€
As in the previous years, lectures in the summer school will be given by a distinguished group of expert lecturers.
This year the school is part of Declarative AI 2020 (https://2020.declarativeai.net), an event which is co-organised by SINTEF AS, University of Oslo, and Norwegian University of Science and Technology, under the umbrella of the SIRIUS Centre for Scalable Data Access. Due to the current situation regarding the spread of the COVID-19 coronavirus, Declarative AI 2020 will be held as an ONLINE event.
The school is co-located with:
- RuleML+RR: International Joint Conference on Rules and Reasoning, Virtual 29 June - 1 July, 2020 http://2020.ruleml-rr.org
- DecisionCAMP, Virtual 29 June - 1 July, 2020 https://decisioncamp2020.home.blog
The students attending the RW school are particularly encouraged to apply to the Doctoral Consortium of RuleML+RR (deadline: 22 May, 2020).
== CONFIRMED LECTURES ==
- Stream Reasoning: From Theory to Practice Emanuele Della Valle (Politecnico di Milano), Riccardo Tommasini (University of Tartu)
- Aggregates and Generalized Atoms in Answer Set Programming Wolfgang Faber (University of Klagenfurt)
- Knowledge Graphs: Past, Present and Future Research Directions Aidan Hogan (University of Chile)
- Declarative Data Analysis using Limit Datalog Programs Egor V. Kostylev (University of Oxford)
- Reasoning with Learned Knowledge Loizos Michael (Open University of Cyprus)
- Learning Description Logic Ontologies Ana Ozaki (Free University of Bozen-Bolzano & University of Bergen)
- Introduction to Probabilistic Ontologies Rafael Penaloza (University of Milano-Bicocca)
- Explanation via Machine Arguing Francesca Toni, Oana Cocarascu, Antonio Rago (Imperial College London)
- Ontology-Mediated Query Answering over Temporal Data Michael Zakharyaschev (Birkbeck University of London)
== APPLICATIONS ==
The number of attendees will be limited and participation will depend on submitting an application which will undergo a reviewing process. Applications have to be submitted by filling the following form:
https://forms.gle/bDupPJyBrse1vFgP7
== IMPORTANT DATES ==
Application deadline: 1 June, 2020 Notification: 8 June, 2020 Summer school: 24-26 June, 2020
== COMMITTEE ==
Chairs
- Marco Manna, University of Calabria, Italy - Andreas Pieris, University of Edinburgh, UK
Scientific Advisory Board
- Leopoldo Bertossi, Universidad Adolfo Ibanez, Chile - Thomas Eiter, TU Wien, Austria - Birte Glimm, University of Ulm, Germany - Markus Krotzsch, TU Dresden, Germany - Yuliya Leierler, University of Nebraska Omaha, US - Carsten Lutz, University of Bremen, Germany - Emanuel Sallinger, University of Oxford, UK
== CONTACT ==
For further information please contact the chairs:
- Marco Manna: marco.manna@unical.it - Andreas Pieris: apieris@inf.ed.ac.uk
-- Mailing-Liste: wi@lists.kit.edu Administrator: wi-request@lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi