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Extending the Range of Temporal Specifications of the Run-Time Event Calculus

Authors Periklis Mantenoglou , Alexander Artikis

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LIPIcs.TIME.2024.6.pdf
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Author Details

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

Funding

This work was supported by the EU-funded CREXDATA project (No 101092749), and partly supported by the University of Piraeus Research Center.

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Periklis Mantenoglou and Alexander Artikis. Extending the Range of Temporal Specifications of the Run-Time Event Calculus. In 31st International Symposium on Temporal Representation and Reasoning (TIME 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 318, pp. 6:1-6:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/LIPIcs.TIME.2024.6

Abstract

Composite event recognition (CER) frameworks reason over streams of low-level, symbolic events in order to detect instances of spatio-temporal patterns defining high-level, composite activities. The Event Calculus is a temporal, logical formalism that has been used to define composite activities in CER, while RTEC_{∘} is a formal CER framework that detects composite activities based on their Event Calculus definitions. RTEC_{∘}, however, cannot handle every possible set of Event Calculus definitions for composite activities, limiting the range of CER applications supported by RTEC_{∘}. We propose RTEC_{fl}, an extension of RTEC_{∘} that supports arbitrary composite activity specifications in the Event Calculus. We present the syntax, semantics, reasoning algorithms and time complexity of RTEC_{fl}. Our analysis demonstrates that RTEC_{fl} extends the scope of RTEC_{∘}, supporting every possible set of Event Calculus definitions for composite activities, while maintaining the high reasoning efficiency of RTEC_{∘}.

Subject Classification

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

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