Document Open Access Logo

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

Author Nikos Giatrakos

Thumbnail PDF


  • Filesize: 0.83 MB
  • 4 pages

Document Identifiers

Author Details

Nikos Giatrakos
  • Technical University of Crete, Chania, Greece
  • Athena RC, Marousi, Greece

Cite AsGet BibTex

Nikos Giatrakos. SSTRESED: Scalable Semantic Trajectory Extraction for Simple Event Detection over Streaming Movement Data (Extended Abstract). In 30th International Symposium on Temporal Representation and Reasoning (TIME 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 278, pp. 15:1-15:4, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2023)


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.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Architectures
  • Semantic Trajectory
  • Event Processing
  • Data Streams


  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    PDF Downloads


  1. Alexander Artikis, Nikos Katzouris, Ivo Correia, Chris Baber, Natan Morar, Inna Skarbovsky, Fabiana Fournier, and Georgios Paliouras. A prototype for credit card fraud management: Industry paper. In Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, DEBS 2017, Barcelona, Spain, June 19-23, 2017, pages 249-260. ACM, 2017. Google Scholar
  2. Antonios Deligiannakis, Nikos Giatrakos, Yannis Kotidis, Vasilis Samoladas, and Alkis Simitsis. Extreme-scale interactive cross-platform streaming analytics - the INFORE approach. In Proceedings of the 2nd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores (SEA-Data 2021) co-located with 47th International Conference on Very Large Data Bases (VLDB 2021), Copenhagen, Denmark, August 20, 2021, volume 2929 of CEUR Workshop Proceedings, pages 7-13., 2021. Google Scholar
  3. Ioannis Flouris, Nikos Giatrakos, Antonios Deligiannakis, and Minos N. Garofalakis. Network-wide complex event processing over geographically distributed data sources. Inf. Syst., 88, 2020. Google Scholar
  4. Ioannis Flouris, Nikos Giatrakos, Minos N. Garofalakis, and Antonios Deligiannakis. Issues in complex event processing systems. In 2015 IEEE TrustCom/BigDataSE/ISPA, Helsinki, Finland, August 20-22, 2015, Volume 2, pages 241-246. IEEE, 2015. Google Scholar
  5. Nikos Giatrakos, Elias Alevizos, Alexander Artikis, Antonios Deligiannakis, and Minos N. Garofalakis. Complex event recognition in the big data era: a survey. VLDB J., 29(1):313-352, 2020. Google Scholar
  6. Nikos Giatrakos, Antonios Deligiannakis, Konstantina Bereta, Marios Vodas, Dimitris Zissis, Elias Alevizos, Charilaos Akasiadis, and Alexander Artikis. Processing big data in motion: Core components and system architectures with applications to the maritime domain. In Edward Curry, Sören Auer, Arne J. Berre, Andreas Metzger, María S. Pérez, and Sonja Zillner, editors, Technologies and Applications for Big Data Value, pages 497-518. Springer, 2022. URL:
  7. Nikos Giatrakos, Eleni Kougioumtzi, Antonios Kontaxakis, Antonios Deligiannakis, and Yannis Kotidis. Easyflinkcep: Big event data analytics for everyone. In CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, pages 3029-3033. ACM, 2021. Google Scholar
  8. Antonis Kontaxakis, Nikos Giatrakos, and Antonios Deligiannakis. A synopses data engine for interactive extreme-scale analytics. In CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, pages 2085-2088. ACM, 2020. Google Scholar
  9. Emmanouil Ntoulias, Elias Alevizos, Alexander Artikis, Charilaos Akasiadis, and Athanasios Koumparos. Online fleet monitoring with scalable event recognition and forecasting. GeoInformatica, 26(4):613-644, 2022. Google Scholar
  10. Kostas Patroumpas, Elias Alevizos, Alexander Artikis, Marios Vodas, Nikos Pelekis, and Yannis Theodoridis. Online event recognition from moving vessel trajectories. GeoInformatica, 21(2):389-427, 2017. Google Scholar
  11. Marios Vodas, Konstantina Bereta, Dimitris Kladis, Dimitris Zissis, Elias Alevizos, Emmanouil Ntoulias, Alexander Artikis, Antonios Deligiannakis, Antonios Kontaxakis, Nikos Giatrakos, David Arnu, Edwin Yaqub, Fabian Temme, Mate Torok, and Ralf Klinkenberg. Online distributed maritime event detection & forecasting over big vessel tracking data. In 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, pages 2052-2057. IEEE, 2021. Google Scholar
  12. Zhixian Yan, Nikos Giatrakos, Vangelis Katsikaros, Nikos Pelekis, and Yannis Theodoridis. Setrastream: Semantic-aware trajectory construction over streaming movement data. In Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Minneapolis, MN, USA, August 24-26, 2011, Proceedings, volume 6849 of Lecture Notes in Computer Science, pages 367-385. Springer, 2011. Google Scholar
Questions / Remarks / Feedback

Feedback for Dagstuhl Publishing

Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail