License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.TIME.2023.15
URN: urn:nbn:de:0030-drops-191053
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/19105/
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Giatrakos, Nikos

SSTRESED: Scalable Semantic Trajectory Extraction for Simple Event Detection over Streaming Movement Data (Extended Abstract)

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LIPIcs-TIME-2023-15.pdf (0.8 MB)

Abstract

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.

BibTeX - Entry

@InProceedings{giatrakos:LIPIcs.TIME.2023.15,
  author =	{Giatrakos, Nikos},
  title =	{{SSTRESED: Scalable Semantic Trajectory Extraction for Simple Event Detection over Streaming Movement Data}},
  booktitle =	{30th International Symposium on Temporal Representation and Reasoning (TIME 2023)},
  pages =	{15:1--15:4},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-298-3},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{278},
  editor =	{Artikis, Alexander and Bruse, Florian and Hunsberger, Luke},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/19105},
  URN =		{urn:nbn:de:0030-drops-191053},
  doi =		{10.4230/LIPIcs.TIME.2023.15},
  annote =	{Keywords: Semantic Trajectory, Event Processing, Data Streams}
}

Keywords: Semantic Trajectory, Event Processing, Data Streams
Collection: 30th International Symposium on Temporal Representation and Reasoning (TIME 2023)
Issue Date: 2023
Date of publication: 18.09.2023

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