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A distributed event calculus for event recognition

Mavrommatis Alexandros, Artikis, Alexander, Skarlatidis Anastasios, Paliouras, Georgios

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URIhttp://purl.tuc.gr/dl/dias/D896FF36-548A-490F-B194-707CFFBBFF3D-
Identifierhttp://ceur-ws.org/Vol-1724/paper5.pdf-
Languageen-
Extent7 pagesen
TitleA distributed event calculus for event recognitionen
CreatorMavrommatis Alexandrosen
CreatorΜαυρομματης Αλεξανδροςel
CreatorArtikis, Alexanderen
CreatorSkarlatidis Anastasiosen
CreatorPaliouras, Georgiosen
PublisherCEUR-WSen
Content SummaryEvents provide a fundamental abstraction for representing time-evolving information. Complex event recognition focuses on tracking and analysing streams of events, in order to detect patterns of special significance. The event streams may originate from various types of sensor, such as cameras and GPS sensors. Furthermore, the stream velocity and volume pose significant challenges to event processing systems. We propose dRTEC, an event recognition system that employs the Event Calculus formalism and operates in multiple processing threads. We evaluate dRTEC using two real-world applications and show that it is capable of real-time and scalable event recognition.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-11-14-
Date of Publication2016-
SubjectEvent recognitionen
Bibliographic CitationA. Mavrommatis, A. Artikis, A. Skarlatidis and G. Paliouras, "A distributed event calculus for event recognition," in 2nd Workshop on Artificial Intelligence and Internet of Things, 2016, pp. 31-37. en

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