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Dagstuhl seminar on the Foundations of Composite Event Recognition

The objective of this Dagstuhl Seminar is to:

  • bring together world-class computer scientists and practitioners working on CER, Distributed Systems, Databases, Logic, Stream Reasoning and Artificial Intelligence;
  • disseminate the recent foundational results in each of these isolated fields among all participants;
  • identify the open problems that need to be resolved to provide general formal foundations of CER;
  • establish new research collaborations among these fields; thereby
  • start making progress towards formulating such foundations.

1st International Summer School on Maritime Informatics

The Summer School will provide a number of introductory lectures covering the main topics related to Maritime Informatics. It is intended for undergraduate and postgraduate students in the fields of computer science and maritime studies. It is also directed towards field practitioners wanting to gain insights into the most recent developments in maritime informatics. Attendees can expect a sound overview of state-of-the-art maritime informatics and the opportunity to familiarise themselves with the most commonly used datasets, reporting systems, AI and visualisation methods.

1st International Joint Conference on Learning & Reasoning

Inductive Logic Programming (ILP) is a subfield of machine learning, focusing on learning logical representations from relational data. The ILP conference series, started in 1991, is the premier international forum for learning from structured or semi-structured relational data, multi-relational learning and data mining. Originally focusing on the induction of logic programs, over the years it has expanded its research horizon significantly and welcomes contributions to all aspects of learning in logic, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches.