Temporal Specification Optimisation for the Event Calculus
Periklis Mantenoglou, Alexander Artikis
摘要
Temporal pattern matching tasks require the detection of situations of interest based on streams of symbolic events. The Run-Time Event Calculus (RTEC) is a formal framework that represents situations of interest as time-varying properties called 'fluents'. Temporal patterns often express 'Boolean combinations' of situations; RTEC features two types of fluents that may model such patterns: 'simple' and 'statically determined'. A simple fluent representation, however, is exponentially larger and more expensive to reason with than the corresponding statically determined fluent one. We formally identify the class of simple fluent definitions that can be translated into statically determined fluent definitions. Moreover, we present a compiler for the translation, and a reproducible empirical evaluation on real applications.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper1
相关 Paper
- Complex Event Recognition with Symbolic Register TransducersElias Alevizos, Alexander Artikis, Georgios PaliourasVLDB 2024 · 被引用 6 次
- Foundations of Reactive Synthesis for Declarative Process SpecificationsLuca Geatti, Marco Montali, Andrey RivkinAAAI 2024 · 被引用 6 次
- A Mechanized Semantics for Dataflow CircuitsTony Law, Delphine Demange, Sandrine BlazyOOPSLA 2025 · 被引用 2 次
- StreamQL: a query language for processing streaming time seriesLingkun Kong, Konstantinos MamourasOOPSLA 2020 · 被引用 8 次
- DLACEP: A Deep-Learning Based Framework for Approximate Complex Event ProcessingAdar Amir, Ilya Kolchinsky, Assaf SchusterSIGMOD 2022 · 被引用 12 次
