An Event Calculus for Run-Time Reasoning (Extended Abstract)

Author Periklis Mantenoglou



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Author Details

Periklis Mantenoglou
  • National and Kapodistrian University of Athens, Greece
  • NCSR "Demokritos", Athens, Greece

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Periklis Mantenoglou. An Event Calculus for Run-Time Reasoning (Extended Abstract). In 30th International Symposium on Temporal Representation and Reasoning (TIME 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 278, pp. 14:1-14:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.TIME.2023.14

Abstract

In stream reasoning, the task is to derive high level abstractions of large data streams with minimal latency, as required by contemporary applications. This work presents an Event Calculus-based approach to stream reasoning, highlighting its core features and recent extensions.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Temporal reasoning
Keywords
  • Event Calculus
  • temporal pattern matching
  • complex event recognition

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References

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  4. Periklis Mantenoglou, Alexander Artikis, and Georgios Paliouras. Online probabilistic interval-based event calculus. In ECAI, volume 325, pages 2624-2631, 2020. Google Scholar
  5. Periklis Mantenoglou, Dimitrios Kelesis, and Alexander Artikis. Complex event recognition with Allen relations. In KR, 2023. Google Scholar
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