Event-Driven Ontology Population - from Research to Practice in Critical Infrastructure Systems

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

Abstract

In an interconnected world, the Systems-of-Systems (SoS) paradigm is prevalent in various domains, particularly in large-scale environments as being found in the area of critical infrastructures. Due to the characteristics of SoS and those of critical infrastructures, the realization of high level services for Operational Technology Monitoring (OTM), such as failure cause reasoning, is challenging, whereas interoperability and evolvability are most pressing. In this realm, the contribution of this paper is twofold: Firstly, we conduct a systematic literature review focusing on semantic technologies in areas like (i) semantic annotations, (ii) event log focused work in the IoT, (iii) organizational process mining, and (iv) complex event processing. Based thereupon, we elaborate towards a hybrid (semi)-automatic ontology population approach in the context of OTM by combining inductive and deductive methods.
Original languageEnglish
Title of host publicationWorldCIST 2021: Trends and Applications in Information Systems and Technologies
EditorsÁlvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Ana Maria Ramalho Correia
Pages405-415
Number of pages11
Volume1366
DOIs
Publication statusPublished - Mar 2021

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1366 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fields of science

  • 102 Computer Sciences
  • 102015 Information systems
  • 102027 Web engineering

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management

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