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The process-oriented event model (PoEM): a conceptual model for industrial events

Published: 26 May 2014 Publication History

Abstract

The paper presents a comprehensive theoretical framework for modeling events and semantics of event processing at a level of abstraction that captures the different processes in industrial applications but is not limited to a specific application domain. The model, called Process-oriented Event Model (PoEM), provides a formal approach to model real-world entities and their interrelationships, and specifies the process of moving from data streams to event detection to event-based goal planning. The model links event detection to states, actions, and roles, enabling event notification, filtering, context awareness and escalation. PoEM defines event and non-event concepts and combines information from them to build an event processing workflow. Usage of the PoEM model is illustrated in case studies from the oil and gas industry and maritime piracy events.

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Cited By

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  • (2019)Designing Smart Logistics Processes Using Cyber-Physical Systems and Complex Event ProcessingMobilität in Zeiten der Veränderung10.1007/978-3-658-26107-8_25(323-336)Online publication date: 17-Apr-2019
  • (2019)Applications of Digital Technologies in Sustainable Logistics and Supply Chain ManagementInnovative Logistics Services and Sustainable Lifestyles10.1007/978-3-319-98467-4_11(235-263)Online publication date: 27-Feb-2019
  • (2018)Real-time Event Processing for Smart Logistics NetworksMobilität und digitale Transformation10.1007/978-3-658-20779-3_32(517-532)Online publication date: 6-Jan-2018
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Published In

cover image ACM Conferences
DEBS '14: Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems
May 2014
371 pages
ISBN:9781450327374
DOI:10.1145/2611286
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 ACM 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: 26 May 2014

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Author Tags

  1. complex event processing
  2. data streams
  3. event escalation
  4. event ontology
  5. semantic web

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DEBS '14

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DEBS '14 Paper Acceptance Rate 16 of 174 submissions, 9%;
Overall Acceptance Rate 145 of 583 submissions, 25%

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Cited By

View all
  • (2019)Designing Smart Logistics Processes Using Cyber-Physical Systems and Complex Event ProcessingMobilität in Zeiten der Veränderung10.1007/978-3-658-26107-8_25(323-336)Online publication date: 17-Apr-2019
  • (2019)Applications of Digital Technologies in Sustainable Logistics and Supply Chain ManagementInnovative Logistics Services and Sustainable Lifestyles10.1007/978-3-319-98467-4_11(235-263)Online publication date: 27-Feb-2019
  • (2018)Real-time Event Processing for Smart Logistics NetworksMobilität und digitale Transformation10.1007/978-3-658-20779-3_32(517-532)Online publication date: 6-Jan-2018
  • (2017)Engineering events in CPSProceedings of the 3rd International Workshop on Software Engineering for Smart Cyber-Physical Systems10.5555/3105716.3105718(3-9)Online publication date: 20-May-2017
  • (2017)The Requirements Engineering Perspective on Events in Cyber-Physical SystemsProceedings of the 11th ACM International Conference on Distributed and Event-based Systems10.1145/3093742.3095097(349-350)Online publication date: 8-Jun-2017
  • (2017)Engineering Events in CPS - Experiences and Lessons Learned2017 IEEE/ACM 3rd International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS)10.1109/SEsCPS.2017.1(3-9)Online publication date: May-2017
  • (2016)Modeling and recognition of events from multidimensional dataProceedings of the 10th ACM International Conference on Distributed and Event-based Systems10.1145/2933267.2933434(430-433)Online publication date: 13-Jun-2016
  • (2016)Utilising bitemporal information for business process contingency managementProceedings of the Australasian Computer Science Week Multiconference10.1145/2843043.2843045(1-10)Online publication date: 1-Feb-2016
  • (2016)Propagation of Event Content Modification in Business ProcessesService-Oriented Computing10.1007/978-3-319-46295-0_5(70-84)Online publication date: 20-Sep-2016
  • (2015)Semantic Web Technologies for External Corrosion Detection in Smart Oil FieldsSPE Western Regional Meeting10.2118/174042-MSOnline publication date: 27-Apr-2015
  • Show More Cited By

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