2026-07-23T04:53:44Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:19105 2024-03-06T11:03:12Z ddc:004 open_access

SSTRESED: Scalable Semantic Trajectory Extraction for Simple Event Detection over Streaming Movement Data (Extended Abstract) Giatrakos, Nikos Semantic Trajectory Event Processing Data Streams We describe SSTRESED, a prototype focused on the real-time, online detection of simple, durative events over streaming movement data. It is the first prototype that establishes a direct connection between semantic trajectory extraction and simple event detection. SSTRESED is highly scalable by incorporating parallel processing in two separate, but connected, training and event detection pipelines implemented on state-of-the-art platforms, directly deployable in cloud environments. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Nikos Giatrakos 2023 Is Part Of LIPIcs, Volume 278, 30th International Symposium on Temporal Representation and Reasoning (TIME 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.TIME.2023.15 urn:nbn:de:0030-drops-191053 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2023.15 eng https://creativecommons.org/licenses/by/4.0/legalcode