Semantic Technologies for Situation Awareness
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13218_2020_Article_694.pdf
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Author(s)
Baader, Franz
Borgwardt, Stefan
Koopmann, Patrick
Thost, Veronika
Turhan, Anni‑Yasmin
Date Issued
November 2020
Journal
Künstliche Intelligenz
Publisher
Springer Berlin Heidelberg
Citation
Baader, Franz et al. “Semantic Technologies for Situation Awareness.” Künstliche Intelligenz 34 (November 2020): 543–550 © 2020 The Author(s)
Version
Final published version
Abstract
The project “Semantic Technologies for Situation Awareness” was concerned with detecting certain critical situations from data obtained by observing a complex hard- and software system, in order to trigger actions that allow this system to save energy. The general idea was to formalize situations as ontology-mediated queries, but in order to express the relevant situations, both the employed ontology language and the query language had to be extended. In this paper we sketch the general approach and then concentrate on reporting the formal results obtained for reasoning in these extensions, but do not describe the application that triggered these extensions in detail.
MIT Department
MIT-IBM Watson AI Lab
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1007/s13218-020-00694-3
