Addressing the Scalability Bottleneck of Semantic Technologies at Bosch

Diego Rincon-Yanez; Mohamed H. Gad-Elrab; Daria Stepanova; Kien Trung Tran; Cuong Chu Xuan; Baifan Zhou; Evgeny Karlamov

doi:10.1007/978-3-031-43458-7_33

Addressing the Scalability Bottleneck of Semantic Technologies at Bosch

Diego Rincon-Yanez^*
, Mohamed H. Gad-Elrab
, Daria Stepanova
, Kien Trung Tran
, Cuong Chu Xuan
, Baifan Zhou
, Evgeny Karlamov

^*Korrespondierende*r Autor*in für diese Arbeit

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

At the heart of smart manufacturing is real-time semi-automatic decision-making. Such decisions are vital for optimizing production lines, e.g., reducing resource consumption, improving the quality of discrete manufacturing operations, and optimizing the actual products, e.g., optimizing the sampling rate for measuring product dimensions during production. Such decision-making relies on massive industrial data thus posing a real-time processing bottleneck.

Originalsprache	Englisch
Titel des Sammelwerks	The Semantic Web
Untertitel des Sammelwerks	ESWC 2023 Satellite Events, Proceedings
Herausgeber*innen	Catia Pesquita, Hala Skaf-Molli, Vasilis Efthymiou, Sabrina Kirrane, Axel Ngonga, Diego Collarana, Renato Cerqueira, Mehwish Alam, Cassia Trojahn, Sven Hertling
Erscheinungsort	Cham
Verlag	Springer
Seiten	177-181
Seitenumfang	5
ISBN (elektronisch)	978-3-031-43458-7
ISBN (Print)	9783031434570
DOIs	https://doi.org/10.1007/978-3-031-43458-7_33
Publikationsstatus	Veröffentlicht - 2023
Extern publiziert	Ja
Veranstaltung	20th Extended Semantic Web Conference, ESWC 2023 - Hersonissos, Griechenland Dauer: 28 Mai 2023 → 1 Juni 2023

Publikationsreihe

Reihe	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	13998 LNCS
ISSN	0302-9743

Konferenz

Konferenz	20th Extended Semantic Web Conference, ESWC 2023
Land/Gebiet	Griechenland
Ort	Hersonissos
Zeitraum	28/05/23 → 1/06/23

Bibliographische Notiz

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG. 2023.

Zugriff auf Dokument

10.1007/978-3-031-43458-7_33

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Zitat

Rincon-Yanez, D., Gad-Elrab, M. H., Stepanova, D., Tran, K. T., Chu Xuan, C., Zhou, B., & Karlamov, E. (2023). Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. in C. Pesquita, H. Skaf-Molli, V. Efthymiou, S. Kirrane, A. Ngonga, D. Collarana, R. Cerqueira, M. Alam, C. Trojahn, & S. Hertling (Hrsg.), The Semantic Web: ESWC 2023 Satellite Events, Proceedings (S. 177-181). Springer. https://doi.org/10.1007/978-3-031-43458-7_33

Rincon-Yanez, Diego ; Gad-Elrab, Mohamed H. ; Stepanova, Daria et al. / Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. The Semantic Web: ESWC 2023 Satellite Events, Proceedings. Hrsg. / Catia Pesquita ; Hala Skaf-Molli ; Vasilis Efthymiou ; Sabrina Kirrane ; Axel Ngonga ; Diego Collarana ; Renato Cerqueira ; Mehwish Alam ; Cassia Trojahn ; Sven Hertling. Cham : Springer, 2023. S. 177-181 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Band 13998 LNCS).

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abstract = "At the heart of smart manufacturing is real-time semi-automatic decision-making. Such decisions are vital for optimizing production lines, e.g., reducing resource consumption, improving the quality of discrete manufacturing operations, and optimizing the actual products, e.g., optimizing the sampling rate for measuring product dimensions during production. Such decision-making relies on massive industrial data thus posing a real-time processing bottleneck.",

author = "Diego Rincon-Yanez and Gad-Elrab, \{Mohamed H.\} and Daria Stepanova and Tran, \{Kien Trung\} and \{Chu Xuan\}, Cuong and Baifan Zhou and Evgeny Karlamov",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG. 2023.; 20th Extended Semantic Web Conference, ESWC 2023 ; Conference date: 28-05-2023 Through 01-06-2023",

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doi = "10.1007/978-3-031-43458-7\_33",

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Rincon-Yanez, D, Gad-Elrab, MH, Stepanova, D, Tran, KT, Chu Xuan, C, Zhou, B & Karlamov, E 2023, Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. in C Pesquita, H Skaf-Molli, V Efthymiou, S Kirrane, A Ngonga, D Collarana, R Cerqueira, M Alam, C Trojahn & S Hertling (Hrsg.), The Semantic Web: ESWC 2023 Satellite Events, Proceedings. Springer, Cham, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 13998 LNCS, S. 177-181, 20th Extended Semantic Web Conference, ESWC 2023, Hersonissos, Griechenland, 28/05/23. https://doi.org/10.1007/978-3-031-43458-7_33

Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. / Rincon-Yanez, Diego; Gad-Elrab, Mohamed H.; Stepanova, Daria et al.
The Semantic Web: ESWC 2023 Satellite Events, Proceedings. Hrsg. / Catia Pesquita; Hala Skaf-Molli; Vasilis Efthymiou; Sabrina Kirrane; Axel Ngonga; Diego Collarana; Renato Cerqueira; Mehwish Alam; Cassia Trojahn; Sven Hertling. Cham: Springer, 2023. S. 177-181 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Band 13998 LNCS).

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

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AU - Rincon-Yanez, Diego

AU - Gad-Elrab, Mohamed H.

AU - Stepanova, Daria

AU - Tran, Kien Trung

AU - Chu Xuan, Cuong

AU - Zhou, Baifan

AU - Karlamov, Evgeny

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG. 2023.

PY - 2023

Y1 - 2023

N2 - At the heart of smart manufacturing is real-time semi-automatic decision-making. Such decisions are vital for optimizing production lines, e.g., reducing resource consumption, improving the quality of discrete manufacturing operations, and optimizing the actual products, e.g., optimizing the sampling rate for measuring product dimensions during production. Such decision-making relies on massive industrial data thus posing a real-time processing bottleneck.

AB - At the heart of smart manufacturing is real-time semi-automatic decision-making. Such decisions are vital for optimizing production lines, e.g., reducing resource consumption, improving the quality of discrete manufacturing operations, and optimizing the actual products, e.g., optimizing the sampling rate for measuring product dimensions during production. Such decision-making relies on massive industrial data thus posing a real-time processing bottleneck.

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U2 - 10.1007/978-3-031-43458-7_33

DO - 10.1007/978-3-031-43458-7_33

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A2 - Skaf-Molli, Hala

A2 - Efthymiou, Vasilis

A2 - Kirrane, Sabrina

A2 - Ngonga, Axel

A2 - Collarana, Diego

A2 - Cerqueira, Renato

A2 - Alam, Mehwish

A2 - Trojahn, Cassia

A2 - Hertling, Sven

PB - Springer

CY - Cham

T2 - 20th Extended Semantic Web Conference, ESWC 2023

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ER -

Rincon-Yanez D, Gad-Elrab MH, Stepanova D, Tran KT, Chu Xuan C, Zhou B et al. Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. in Pesquita C, Skaf-Molli H, Efthymiou V, Kirrane S, Ngonga A, Collarana D, Cerqueira R, Alam M, Trojahn C, Hertling S, Hrsg., The Semantic Web: ESWC 2023 Satellite Events, Proceedings. Cham: Springer. 2023. S. 177-181. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Band 13998 LNCS). doi: 10.1007/978-3-031-43458-7_33