Semantic Technologies for Situation Awareness: Report on a Project Within the CRC “Highly Adaptive Energy-Efficient Computing”

Franz Baader; Stefan Borgwardt; Patrick Koopmann; Veronika Thost; Anni-Yasmin Turhan

doi:10.1007/s13218-020-00694-3

Semantic Technologies for Situation Awareness: Report on a Project Within the CRC “Highly Adaptive Energy-Efficient Computing”

Franz Baader
, Stefan Borgwardt
, Patrick Koopmann
, Veronika Thost
, Anni-Yasmin Turhan

Research output: Contribution to Journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	543-550
Number of pages	8
Journal	KI - Künstliche Intelligenz
Volume	34
Issue number	4
Early online date	3 Nov 2020
DOIs	https://doi.org/10.1007/s13218-020-00694-3
Publication status	Published - Dec 2020
Externally published	Yes

Funding

The project “Semantic Technologies for Situation Awareness” was funded by the German Research Foundation as part of the Collaborative Research Centre “Highly adaptive energy-efficient computing” (HAEC) at TU Dresden [, ], which was a joint effort of the faculties of Electrical and Computer Engineering, Computer Science, and the Department of Mathematics, encompassing more than 20 projects. This project was led by Franz Baader in the first phase of the CRC (2011–2015) and in the second (2015–2019) by him together with Anni-Yasmin Turhan. The work reported on here was supported by the German Research Foundation (DFG) within the Collaborative Research Center (CRC) 912 – HAEC. We would like to thank our colleagues Christian Alrabbaa, Camille Bourgaux, Claudia Carapelle, Ismail Ceylan, Felix Distel, Marcel Lippmann, Theofilos Mailis, and Erik Zenker for their contributions to this project, and all the other members of the CRC HAEC for their cooperation.

Funders
CRC HAEC
Deutsche Forschungsgemeinschaft
Technische Universität Dresden

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1007/s13218-020-00694-3

Persistent URL (handle)

Persistent link

Cite this

@article{8315455531834584b5360a862e821832,

title = "Semantic Technologies for Situation Awareness: Report on a Project Within the CRC “Highly Adaptive Energy-Efficient Computing”",

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.",

author = "Franz Baader and Stefan Borgwardt and Patrick Koopmann and Veronika Thost and Anni-Yasmin Turhan",

year = "2020",

month = dec,

doi = "10.1007/s13218-020-00694-3",

language = "English",

volume = "34",

pages = "543--550",

journal = "KI - K{\"u}nstliche Intelligenz",

issn = "0933-1875",

publisher = "Springer International Publishing",

number = "4",

}

TY - JOUR

T1 - Semantic Technologies for Situation Awareness

T2 - Report on a Project Within the CRC “Highly Adaptive Energy-Efficient Computing”

AU - Baader, Franz

AU - Borgwardt, Stefan

AU - Koopmann, Patrick

AU - Thost, Veronika

AU - Turhan, Anni-Yasmin

PY - 2020/12

Y1 - 2020/12

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85094977802

UR - https://www.scopus.com/pages/publications/85094977802#tab=citedBy

U2 - 10.1007/s13218-020-00694-3

DO - 10.1007/s13218-020-00694-3

M3 - Article

SN - 0933-1875

VL - 34

SP - 543

EP - 550

JO - KI - Künstliche Intelligenz

JF - KI - Künstliche Intelligenz

IS - 4

ER -

Semantic Technologies for Situation Awareness: Report on a Project Within the CRC “Highly Adaptive Energy-Efficient Computing”

Abstract

Funding

UN SDGs

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Cite this