research-article

RFID-based logistics monitoring with semantics-driven event processing

Authors:

Monika Solanki,

Esko NuutilaAuthors Info & Claims

DEBS '16: Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems

Pages 238 - 245

https://doi.org/10.1145/2933267.2933300

Published: 13 June 2016 Publication History

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.

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Cited By

Le-Phuoc DHauswirth M(2022)Semantic Stream Processing and ReasoningEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_287-2(1-10)Online publication date: 16-Mar-2022
https://doi.org/10.1007/978-3-319-63962-8_287-2
Le-Phuoc DHauswirth M(2019)Semantic Stream ProcessingEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_287(1505-1513)Online publication date: 20-Feb-2019
https://doi.org/10.1007/978-3-319-77525-8_287
Gao SDell’Aglio DPan JBernstein A(2018)Distributed Stream Consistency CheckingWeb Engineering10.1007/978-3-319-91662-0_32(387-403)Online publication date: 20-May-2018
https://doi.org/10.1007/978-3-319-91662-0_32
Show More Cited By

Index Terms

RFID-based logistics monitoring with semantics-driven event processing
1. Applied computing
  1. Enterprise computing
    1. Event-driven architectures
2. Computing methodologies
  1. Modeling and simulation
    1. Simulation evaluation

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Published In

cover image ACM Conferences

DEBS '16: Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems

June 2016

456 pages

ISBN:9781450340212

DOI:10.1145/2933267

General Chairs:
Avigdor Gal
Technion, Israel
,
Matthias Weidlich
Humboldt-Universität zu Berlin, Germany
,
Program Chairs:
Vana Kalogeraki
Athens University of Economics and Business, Greece
,
Nalini Venkasubramanian
University of California, Irvine

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 13 June 2016

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DEBS '16

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DEBS '16: The 10th ACM International Conference on Distributed and Event-based Systems

June 20 - 24, 2016

California, Irvine

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Overall Acceptance Rate 145 of 583 submissions, 25%

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Cited By

Le-Phuoc DHauswirth M(2022)Semantic Stream Processing and ReasoningEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_287-2(1-10)Online publication date: 16-Mar-2022
https://doi.org/10.1007/978-3-319-63962-8_287-2
Le-Phuoc DHauswirth M(2019)Semantic Stream ProcessingEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_287(1505-1513)Online publication date: 20-Feb-2019
https://doi.org/10.1007/978-3-319-77525-8_287
Gao SDell’Aglio DPan JBernstein A(2018)Distributed Stream Consistency CheckingWeb Engineering10.1007/978-3-319-91662-0_32(387-403)Online publication date: 20-May-2018
https://doi.org/10.1007/978-3-319-91662-0_32
Le-Phuoc DHauswirth M(2018)Semantic Stream ProcessingEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_287-1(1-9)Online publication date: 24-Apr-2018
https://doi.org/10.1007/978-3-319-63962-8_287-1
Dell’Aglio DDella Valle Evan Harmelen FBernstein A(2017)Stream reasoning: A survey and outlookData Science10.3233/DS-170006(1-25)Online publication date: 17-Oct-2017
https://doi.org/10.3233/DS-170006
Thanhofer-Pilisch JRabiser RKrismayer TVierhauser MGrünbacher PWallner SSeyerlehner KZeisel H(2017)An Event-based Capture-and-Compare Approach to Support the Evolution of Systems of SystemsProceedings of the 11th ACM International Conference on Distributed and Event-based Systems10.1145/3093742.3093909(261-270)Online publication date: 8-Jun-2017
https://dl.acm.org/doi/10.1145/3093742.3093909
Rinne MNuutila E(2016)Constructing Event Processing Systems of Layered and Heterogeneous Events with SPARQLJournal on Data Semantics10.1007/s13740-016-0073-46:2(57-69)Online publication date: 23-Sep-2016
https://doi.org/10.1007/s13740-016-0073-4
Gao SDell’Aglio DDehghanzadeh SBernstein ADella Valle EMileo A(2016)Planning Ahead: Stream-Driven Linked-Data Access Under Update-Budget ConstraintsThe Semantic Web – ISWC 201610.1007/978-3-319-46523-4_16(252-270)Online publication date: 23-Sep-2016
https://doi.org/10.1007/978-3-319-46523-4_16

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