Semantic Technologies for Situation Awareness

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...

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Main Authors: Baader, Franz, Borgwardt, Stefan, Koopmann, Patrick, Thost, Veronika, Turhan, Anni‑Yasmin
Other Authors: MIT-IBM Watson AI Lab
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2021
Online Access:https://hdl.handle.net/1721.1/129939
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author Baader, Franz
Borgwardt, Stefan
Koopmann, Patrick
Thost, Veronika
Turhan, Anni‑Yasmin
author2 MIT-IBM Watson AI Lab
author_facet MIT-IBM Watson AI Lab
Baader, Franz
Borgwardt, Stefan
Koopmann, Patrick
Thost, Veronika
Turhan, Anni‑Yasmin
author_sort Baader, Franz
collection MIT
description 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.
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spelling mit-1721.1/1299392022-09-30T11:46:16Z Semantic Technologies for Situation Awareness Baader, Franz Borgwardt, Stefan Koopmann, Patrick Thost, Veronika Turhan, Anni‑Yasmin MIT-IBM Watson AI Lab 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. 2021-02-22T15:27:49Z 2021-02-22T15:27:49Z 2020-11 2020-09 2020-12-13T04:12:49Z Article http://purl.org/eprint/type/JournalArticle 978-3-540-29754-3 978-3-540-32082-1 https://hdl.handle.net/1721.1/129939 Baader, Franz et al. “Semantic Technologies for Situation Awareness.” Künstliche Intelligenz 34 (November 2020): 543–550 © 2020 The Author(s) en https://doi.org/10.1007/s13218-020-00694-3 Künstliche Intelligenz Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg
spellingShingle Baader, Franz
Borgwardt, Stefan
Koopmann, Patrick
Thost, Veronika
Turhan, Anni‑Yasmin
Semantic Technologies for Situation Awareness
title Semantic Technologies for Situation Awareness
title_full Semantic Technologies for Situation Awareness
title_fullStr Semantic Technologies for Situation Awareness
title_full_unstemmed Semantic Technologies for Situation Awareness
title_short Semantic Technologies for Situation Awareness
title_sort semantic technologies for situation awareness
url https://hdl.handle.net/1721.1/129939
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AT thostveronika semantictechnologiesforsituationawareness
AT turhananniyasmin semantictechnologiesforsituationawareness