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Reasoning about ACtions and Events over Streams (RACES)

Reasoning about ACtions and Events over Streams (RACES)

Held as part of KR 2020, September 12, 2020 - Rhodes, Greece
Overview

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. Examples include the recognition of attacks on computer network nodes, human activities on video content, emerging stories and trends on the Social Web, traffic and transport incidents in smart cities, error conditions in smart energy grids, violations of maritime regulations, detecting cardiac arrhythmia, and tracking epidemic spread. In each application, reasoning about events and actions allows one to make sense of streaming data, react accordingly and prepare for counter-measures.

Recent years have witnessed increased activity in diverse fields of Computer Science on topics related to reasoning about actions and events over data streams: temporal representation and reasoning, temporal logic, action languages, commonsense reasoning, reasoning under uncertainty, online relational learning, distributed reasoning, incremental reasoning, theoretical complexity results related to processing database queries under updates, expressiveness and complexity of logics in dynamic settings, and so on.

Goal

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.

Format

We follow a successful format adopted in previous (KR) workshops, such as the KR 2018 workshop on Reasoning about Actions and Processes, and invite submissions for presentations, not papers. We welcome a presentation on your favorite recent technical work, position papers, or open problems with clear and concise formulations of current challenges. The contributed talks will be 15 minutes long. All sessions will be designed to promote interaction between the attendees by holding frequent discussion periods for analysis and critique. The workshop will also have panel sessions on important emerging issues for the field and longer keynote talks.

Submissions

Each submission must be 1 or 2 pages long including references (use the KR style), and must name the speaker that will give the presentation in the workshop. There are no formal proceedings and we encourage submissions of work presented or submitted elsewhere. No copyright transfer will be required, only permission to post the abstract on the workshop site.

Topics of interest include, but are not limited to:

  • Action languages for data streams
  • Temporal logics for data streams
  • Online relational learning
  • Composite event recognition
  • Composite event forecasting
  • Online probabilistic reasoning
  • Incremental reasoning
  • Data stream models
  • Language expressivity for stream reasoning
  • Complexity analysis of stream reasoning
  • Continuous query processing
  • Activity recognition
  • Business process modeling for stream reasoning
  • Numerical and symbolic learning for stream reasoning
  • Explainability in stream reasoning
  • Applications of reasoning about actions and events over streams

Papers can be submitted via EasyChair (select the RACES workshop/track).

Important Dates
  • Submission
  • 8 June 2020 22 June 2020 (extended deadline)
  • Notification
  • 13 July 2020
  • Workshop date
  • 12 September 2020
Accepted Papers
  • Periklis Mantenoglou, Online Probabilistic Interval-based Event Calculus
  • Andrea Brunello, Dario Della Monica, Angelo Montanari and Andrea Urgolo, Learning to Monitor: a Novel Framework for Online System Verific
  • Efthimis Tsilionis, Incremental Event Calculus for Run-Time Reasoning
  • Przemysław Andrzej Walega, Bernardo Cuenca Grau and Egor V. Kostylev, Temporal Stream Reasoning with DatalogMTL
  • Thomas Prokosch and François Bry, Stream Reasoning Back and Forth
  • Franco Giustozzi, Julien Saunier and Cecilia Zanni-Merk, Abnormal Situations Interpretation in Industry 4.0 using Stream Reasoning
  • Alberto Camacho and Sheila A. McIlraith, Learning Interpretable Models Expressed in Linear Temporal Logic
  • Thomas Eiter and Rafael Kiesel, Quantities in Stream Reasoning
  • Pietro Daverio, Hassan Nazeer Chaudhry, Alessandro Margara and Matteo Rossi, Temporal Reasoning on Large-Scale Graphs
  • Patrik Schneider and Thomas Eiter, Temporal Behavioral Models for Traffic Diagnosis
  • Jean-Pierre Münch, Florian Weinacker, Guido Salvaneschi and Alessandro Margara, Accountable Decentralized Event Reasoning Using Blockchains
Programme Committee
Program

Like KR, RACES will be a hybrid event supporting both physical and remote attendance.

  • 09:00 - 10:30
  • Session-1 ( 90 min)
  • Coffee break
  • 11:00 - 12:45
  • Session-2 (105 min)
  • Lunch break
  • 14:15 - 15:45
  • Session-3 ( 90 min)
  • Coffee break
  • 16:15 - 18:00
  • Session-4 (105 min)