%0 Journal Article %1 Baader2020-am %A Baader, Franz %A Borgwardt, Stefan %A Koopmann, Patrick %A Thost, Veronika %A Turhan, Anni-Yasmin %D 2020 %I Springer Science and Business Media LLC %J KI - Künstl. Intell. %K %N 4 %P 543--550 %T Semantic Technologies for Situation Awareness %V 34 %X AbstractThe 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.

@article{Baader2020-am, abstract = {AbstractThe 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.}, added-at = {2024-09-10T11:56:37.000+0200}, author = {Baader, Franz and Borgwardt, Stefan and Koopmann, Patrick and Thost, Veronika and Turhan, Anni-Yasmin}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2a5247a99c11b0b770df5bd080ad1d459/scadsfct}, copyright = {https://creativecommons.org/licenses/by/4.0}, interhash = {6e0e6e8451dd1b63c5b6441c11ad6ee2}, intrahash = {a5247a99c11b0b770df5bd080ad1d459}, journal = {KI - K{\"u}nstl. Intell.}, keywords = {}, language = {en}, month = dec, number = 4, pages = {543--550}, publisher = {Springer Science and Business Media LLC}, timestamp = {2024-09-10T15:15:57.000+0200}, title = {Semantic Technologies for Situation Awareness}, volume = 34, year = 2020 }