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Events

Past Events


The 30th International Symposium on Temporal Representation and Reasoning (TIME 2023)

TIME has been for more than twenty years the only yearly multidisciplinary international event dedicated to the topic of time in computer science. The TIME International Symposium Series began in 1994. The first six annual meetings were held as workshops in conjunction with the FLAIRS (Florida Artificial Intelligence Research Society) annual conference. As the workshop has grown, in 2000, the organizers decided to hold the annual meeting as an independent event. Over the years, participation of researchers from areas outside of mainstream AI (especially the database community) has grown. The purpose of the symposium is to bring together active researchers in different research areas involving temporal representation and reasoning. The symposium also welcomes research papers on the related topics of spatial and spatio-temporal representation and reasoning. In the early years, most contributions came from the Artificial Intelligence community, but the number of contributions from other areas such as Temporal Logic and Verification and partly from Temporal Databases has been increasing in the last years.

The 29th International Symposium on Temporal Representation and Reasoning (TIME 2022)

TIME has been for more than twenty years the only yearly multidisciplinary international event dedicated to the topic of time in computer science. The TIME International Symposium Series began in 1994. The first six annual meetings were held as workshops in conjunction with the FLAIRS (Florida Artificial Intelligence Research Society) annual conference. As the workshop has grown, in 2000, the organizers decided to hold the annual meeting as an independent event. Over the years, participation of researchers from areas outside of mainstream AI (especially the database community) has grown. The purpose of the symposium is to bring together active researchers in different research areas involving temporal representation and reasoning. The symposium also welcomes research papers on the related topics of spatial and spatio-temporal representation and reasoning. In the early years, most contributions came from the Artificial Intelligence community, but the number of contributions from other areas such as Temporal Logic and Verification and partly from Temporal Databases has been increasing in the last years.

The 3rd IEEE Intl. Maritime Big Data Workshop (MBDW 2022)

The growth of the maritime sector has produced an increase of the global maritime traffic and of the activities exploiting the ocean environment and its resources. Technological innovations led to the development of automated monitoring systems, addressing issues of safety and security in maritime navigation, and maritime sensors networks, producing a tremendous increase of the maritime data available. The Maritime Big Data Workshop 2022 was organized under the umbrella of the 23rd IEEE International Conference on Mobile Data Management (MDM 2022). It was an opportunity for researchers, technology providers, institutions participating in interdisciplinary big data initiatives, and representatives of the operational community, to meet and exchange on research results and innovations in the maritime context. The workshop welcomed the presentation of novel big data computational solutions with application in the maritime context.

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.

15th ACM International Conference on Distributed and Event-Based Systems (DEBS)

Over the past decade, the ACM International Conference on Distributed and Event‐based Systems (DEBS) has become the premier venue for cutting-edge research in the field of event processing and distributed computing, and the integration of distributed and event-based systems in relevant domains such as Big Data, AI/ML, IoT, and Blockchain. The objectives of the ACM DEBS are to provide a forum dedicated to the dissemination of original research, the discussion of practical insights, and the reporting of experiences relevant to distributed systems and event‐based computing. The conference aims at providing a forum for academia and industry to exchange ideas through its tutorials, research papers, and the Grand Challenge.

Workshop on Reasoning about ACtions and Events over Streams

In order to obtain timely insights and implement reactive and proactive measures, many contemporary applications require reasoning about actions and events over streams of continuously arriving data. For example, in a wide range of applications, critical activities are formalised as events that have to be detected in real-time, or even forecast ahead of time. The workshop aims to bring together researchers working in a variety of areas, such as knowledge representation, machine learning, database systems, complexity theory, distributed systems and business process modeling, and thus foster community building on reasoning on actions and events over streams.

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.