Towards Automating Semantic Relationship Awareness in Operational Technology Monitoring

Wieland Schwinger, Elisabeth Kapsamer, Werner Retschitzegger, Birgit Pröll, David Graf, Norbert Baumgartner, Johannes Schönböck, Herbert Zaunmair

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung


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 As a consequence, knowledge about interdependencies between OT objects in form of semantic relationships is often outdated or simply not available.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.

TitelFuture Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications - 10th International Conference, FDSE 2023, Proceedings
Redakteure/-innenTran Khanh Dang, Josef Küng, Tai M. Chung
PublikationsstatusVeröffentlicht - 2023


NameCommunications in Computer and Information Science
Band1925 CCIS
ISSN (Print)1865-0929
ISSN (elektronisch)1865-0937


Untersuchen Sie die Forschungsthemen von „Towards Automating Semantic Relationship Awareness in Operational Technology Monitoring“. Zusammen bilden sie einen einzigartigen Fingerprint.