extended-abstract

A Novel Semantic Complex Event Processing Framework for Streaming Processing

Authors:

Dhavalkumar ThakkerAuthors Info & Claims

IoT '19: Proceedings of the 9th International Conference on the Internet of Things

Article No.: 32, Pages 1 - 4

https://doi.org/10.1145/3365871.3365906

Published: 22 October 2019 Publication History

Abstract

Streaming events are on the increase in various industries, with applications needing data analysed rapidly for real-time detection. A large amount of data from multiple sensors streamed simultaneously is creating a new challenge for instantaneous decision making hence necessitating the need for a highly efficient event processing, detection of events, patterns, ontologies, definition and behaviour rules.The objective of this work is to develop a framework that integrates SCEP into the traditional CEP engine. The approach proposes to address real-time detection of complex events as it occurs also with the ability to detect anomalies of events.

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Digital Library

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Cited By

Yemson RKabir SThakker DKonur S(2023)Ontology Development for Detecting Complex Events in Stream Processing: Use Case of Air Quality MonitoringComputers10.3390/computers1211023812:11(238)Online publication date: 16-Nov-2023
https://doi.org/10.3390/computers12110238
Qaswar FRahmah MRaza MNoraziah AAlkazemi BFauziah ZHassan MSharaf A(2022)Applications of Ontology in the Internet of Things: A Systematic AnalysisElectronics10.3390/electronics1201011112:1(111)Online publication date: 27-Dec-2022
https://doi.org/10.3390/electronics12010111

Index Terms

A Novel Semantic Complex Event Processing Framework for Streaming Processing
1. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Data analytics
    2. Spatial-temporal systems
      1. Data streaming
      2. Sensor networks
  2. World Wide Web
    1. Web data description languages
      1. Semantic web description languages
        Web Ontology Language (OWL)

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IoT '19: Proceedings of the 9th International Conference on the Internet of Things

October 2019

263 pages

ISBN:9781450372077

DOI:10.1145/3365871

Copyright © 2019 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 22 October 2019

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IoT 2019

IoT 2019: 9th International Conference on the Internet of Things

October 22 - 25, 2019

Bilbao, Spain

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IoT '19 Paper Acceptance Rate 28 of 84 submissions, 33%;

Overall Acceptance Rate 28 of 84 submissions, 33%

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Cited By

Yemson RKabir SThakker DKonur S(2023)Ontology Development for Detecting Complex Events in Stream Processing: Use Case of Air Quality MonitoringComputers10.3390/computers1211023812:11(238)Online publication date: 16-Nov-2023
https://doi.org/10.3390/computers12110238
Qaswar FRahmah MRaza MNoraziah AAlkazemi BFauziah ZHassan MSharaf A(2022)Applications of Ontology in the Internet of Things: A Systematic AnalysisElectronics10.3390/electronics1201011112:1(111)Online publication date: 27-Dec-2022
https://doi.org/10.3390/electronics12010111

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