Improving industrial optimization with Semantic Web technologies

Benjamin Mörzinger; Marta Sabou; Fajar J. Ekaputra; Nikolaus Sindelar

Improving industrial optimization with Semantic Web technologies

Benjamin Mörzinger, Marta Sabou, Fajar J. Ekaputra, Nikolaus Sindelar

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

Time-series based simulations of industrial processes are instrumental to optimizing a variety of industrial settings. In this paper, we describe a use case, developed together with Infineon Technologies Austria AG. Monitoring data stored in relational databases was used to build process models of industrial chillers. Optimization algorithms were then applied to find optimal strategies for operating the chillers. Even though the results from this approach were convincing, the access to the necessary data was a labor-intensive and error-prone task. Therefore, in this paper, we investigate how Semantic Web technologies can help to improve data access for time-series data and under which circumstances they would be helpful for the domain experts performing the simulation.

Originalsprache	Englisch
Titel des Sammelwerks	Posters&Demos at SEMANTiCS 2018
Untertitel des Sammelwerks	Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMPDS 2018)
Herausgeber*innen	Ali Khalili, Maria Koutraki
Erscheinungsort	Aachen
Publikationsstatus	Veröffentlicht - 2018
Extern publiziert	Ja
Veranstaltung	Posters and Demos Track of the 14th International Conference on Semantic Systems, SEMPDS 2018 - Vienna, Österreich Dauer: 10 Sept. 2018 → 13 Sept. 2018

Publikationsreihe

Reihe	CEUR Workshop Proceedings
Band	2198
ISSN	1613-0073

Konferenz

Konferenz	Posters and Demos Track of the 14th International Conference on Semantic Systems, SEMPDS 2018
Land/Gebiet	Österreich
Ort	Vienna
Zeitraum	10/09/18 → 13/09/18

Bibliographische Notiz

Publisher Copyright:
© 2018 CEUR-WS. All Rights Reserved.

Zugriff auf Dokument

https://ceur-ws.org/Vol-2198/

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Zitat

Mörzinger, B., Sabou, M., Ekaputra, F. J., & Sindelar, N. (2018). Improving industrial optimization with Semantic Web technologies. in A. Khalili, & M. Koutraki (Hrsg.), Posters&Demos at SEMANTiCS 2018: Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMPDS 2018) Artikel 113. https://ceur-ws.org/Vol-2198/

Mörzinger, Benjamin ; Sabou, Marta ; Ekaputra, Fajar J. et al. / Improving industrial optimization with Semantic Web technologies. Posters&Demos at SEMANTiCS 2018: Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMPDS 2018). Hrsg. / Ali Khalili ; Maria Koutraki. Aachen, 2018. (CEUR Workshop Proceedings, Band 2198).

@inproceedings{ee64d2db55db47b18d7a83111119c0bf,

title = "Improving industrial optimization with Semantic Web technologies",

abstract = "Time-series based simulations of industrial processes are instrumental to optimizing a variety of industrial settings. In this paper, we describe a use case, developed together with Infineon Technologies Austria AG. Monitoring data stored in relational databases was used to build process models of industrial chillers. Optimization algorithms were then applied to find optimal strategies for operating the chillers. Even though the results from this approach were convincing, the access to the necessary data was a labor-intensive and error-prone task. Therefore, in this paper, we investigate how Semantic Web technologies can help to improve data access for time-series data and under which circumstances they would be helpful for the domain experts performing the simulation.",

keywords = "Manufacturing, Ontology-based data access, Simulation",

author = "Benjamin M{\"o}rzinger and Marta Sabou and Ekaputra, {Fajar J.} and Nikolaus Sindelar",

note = "Publisher Copyright: {\textcopyright} 2018 CEUR-WS. All Rights Reserved.; Posters and Demos Track of the 14th International Conference on Semantic Systems, SEMPDS 2018 ; Conference date: 10-09-2018 Through 13-09-2018",

year = "2018",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS",

editor = "Ali Khalili and Maria Koutraki",

booktitle = "Posters&Demos at SEMANTiCS 2018",

}

Mörzinger, B, Sabou, M , Ekaputra, FJ & Sindelar, N 2018, Improving industrial optimization with Semantic Web technologies. in A Khalili & M Koutraki (Hrsg.), Posters&Demos at SEMANTiCS 2018: Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMPDS 2018)., 113, Aachen, CEUR Workshop Proceedings, Bd. 2198, Posters and Demos Track of the 14th International Conference on Semantic Systems, SEMPDS 2018, Vienna, Österreich, 10/09/18. <https://ceur-ws.org/Vol-2198/>

Improving industrial optimization with Semantic Web technologies. / Mörzinger, Benjamin; Sabou, Marta ; Ekaputra, Fajar J. et al.
Posters&Demos at SEMANTiCS 2018: Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMPDS 2018). Hrsg. / Ali Khalili; Maria Koutraki. Aachen, 2018. 113 (CEUR Workshop Proceedings, Band 2198).

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - Improving industrial optimization with Semantic Web technologies

AU - Mörzinger, Benjamin

AU - Sabou, Marta

AU - Ekaputra, Fajar J.

AU - Sindelar, Nikolaus

PY - 2018

Y1 - 2018

N2 - Time-series based simulations of industrial processes are instrumental to optimizing a variety of industrial settings. In this paper, we describe a use case, developed together with Infineon Technologies Austria AG. Monitoring data stored in relational databases was used to build process models of industrial chillers. Optimization algorithms were then applied to find optimal strategies for operating the chillers. Even though the results from this approach were convincing, the access to the necessary data was a labor-intensive and error-prone task. Therefore, in this paper, we investigate how Semantic Web technologies can help to improve data access for time-series data and under which circumstances they would be helpful for the domain experts performing the simulation.

AB - Time-series based simulations of industrial processes are instrumental to optimizing a variety of industrial settings. In this paper, we describe a use case, developed together with Infineon Technologies Austria AG. Monitoring data stored in relational databases was used to build process models of industrial chillers. Optimization algorithms were then applied to find optimal strategies for operating the chillers. Even though the results from this approach were convincing, the access to the necessary data was a labor-intensive and error-prone task. Therefore, in this paper, we investigate how Semantic Web technologies can help to improve data access for time-series data and under which circumstances they would be helpful for the domain experts performing the simulation.

KW - Manufacturing

KW - Ontology-based data access

KW - Simulation

UR - http://www.scopus.com/inward/record.url?scp=85053658511&partnerID=8YFLogxK

M3 - Contribution to conference proceedings

AN - SCOPUS:85053658511

T3 - CEUR Workshop Proceedings

BT - Posters&Demos at SEMANTiCS 2018

A2 - Khalili, Ali

A2 - Koutraki, Maria

CY - Aachen

T2 - Posters and Demos Track of the 14th International Conference on Semantic Systems, SEMPDS 2018

Y2 - 10 September 2018 through 13 September 2018

ER -

Mörzinger B, Sabou M , Ekaputra FJ, Sindelar N. Improving industrial optimization with Semantic Web technologies. in Khalili A, Koutraki M, Hrsg., Posters&Demos at SEMANTiCS 2018: Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMPDS 2018). Aachen. 2018. 113. (CEUR Workshop Proceedings, Band 2198).