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Towards Automating Semantic Relationship Awareness in Operational Technology Monitoring

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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications (FDSE 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1925))

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Abstract

Critical infrastructures in areas like road traffic management naturally rely on the broad use of “Operational Technology (OT)” to ensure efficient and safe road traffic monitoring (RTM) through “OT objects” like sensors and actuators whereby monitoring OT itself (“OTM”) is evenly crucial. OTM is highly challenging, not least due to massive heterogeneity of OT, immense complexity and size and omnipresence of evolution. As a consequence, knowledge about interdependencies between OT objects in form of semantic relationships is often outdated or simply not available. Thus, in case of incidents, detection of cause and effect in the sense of a situational picture is missing.

In order to counteract this fundamental deficiency, we aim to automatically recognize semantic relationships between OT objects to build up an ontological knowledge base as prerequisite for achieving OT situation awareness. The contribution of this paper is to sketch out state-of-research w.r.t. real-world challenges we are facing and based on that to put forward appropriate research questions, leading to the identification and in-depth discussion of potential concepts and technologies appearing to be useful for our work. Overall, this contribution forms the conceptual framework for a proof-of-concept prototype already realized on basis of real-world OT in the area of road traffic management.

This work is supported by Austrian Research Promotion Agency (FFG) under grant Forschungspartnerschaften 874490.

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Authors and Affiliations

  1. Johannes Kepler University Linz (JKU), Linz, Austria

    Wieland Schwinger, Elisabeth Kapsammer, Werner Retschitzegger, Birgit Pröll, David Graf & H. Zaunmair

  2. Team GmbH, Vienna, Austria

    David Graf & Norbert Baumgartner

  3. Upper Austrian University of Applied Sciences Hagenberg, Hagenberg, Austria

    Johannes Schönböck

Authors
  1. Wieland Schwinger
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  2. Elisabeth Kapsammer
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  3. Werner Retschitzegger
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  4. Birgit Pröll
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  5. David Graf
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  6. Norbert Baumgartner
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  7. Johannes Schönböck
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  8. H. Zaunmair
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Corresponding authors

Correspondence to Wieland Schwinger or David Graf .

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Editors and Affiliations

  1. Ho Chi Minh City University of Industry and Trade, Ho Chi Minh City, Vietnam

    Tran Khanh Dang

  2. Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  3. Sungkyunkwan University, Suwon-si, Korea (Republic of)

    Tai M. Chung

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Schwinger, W. et al. (2023). Towards Automating Semantic Relationship Awareness in Operational Technology Monitoring. In: Dang, T.K., Küng, J., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2023. Communications in Computer and Information Science, vol 1925. Springer, Singapore. https://doi.org/10.1007/978-981-99-8296-7_39

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  • DOI: https://doi.org/10.1007/978-981-99-8296-7_39

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