RFID-Based logistics monitoring with semantics-driven event processing

Mikko Rinne, Monika Solanki, Esko Nuutila

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

5 Citations (Scopus)

Abstract

In this paper a real-life counterfeit and theft detection scenario from pharmaceutical manufacturing is modelled using events encoded as XML and RDF. With Esper and Instans event processing platforms, the second one from the semantic web domain, the same task is configured and an experimental performance evaluation is carried out. Our results show that even though the starting points are very different, the same core task can be accomplished on both platforms. We provide quantitative performance comparisons that corroborate our analysis. For an understanding of what can be expected from each framework outside the core task, the differences between the two tools and their respective domains are qualitatively analysed.

Original languageEnglish
Title of host publicationDEBS 2016 - Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems
PublisherACM
Pages238-245
Number of pages8
ISBN (Electronic)9781450340212
DOIs
Publication statusPublished - 13 Jun 2016
MoE publication typeA4 Article in a conference publication
EventACM International Conference on Distributed and Event-Based Systems - Irvine, United States
Duration: 20 Jun 201624 Jun 2016
Conference number: 10

Conference

ConferenceACM International Conference on Distributed and Event-Based Systems
Abbreviated titleDEBS
CountryUnited States
CityIrvine
Period20/06/201624/06/2016

Keywords

  • Complex event processing
  • Epcis
  • Iot
  • RFID
  • Sparql
  • Stream processing
  • Supply chain logistics

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