Towards a Standardized Description of Semantic Web Machine Learning Systems

Fajar Juang Ekaputra; Laura Waltersdorfer; Anna Breit; Marta Sabou

Towards a Standardized Description of Semantic Web Machine Learning Systems

Fajar Juang Ekaputra^*
, Laura Waltersdorfer
, Anna Breit
, Marta Sabou

^*Korrespondierende*r Autor*in für diese Arbeit

Data, Process and Knowledge Management (Sabou)

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

In this paper, we report on our proposed approach towards a standardized description for systems combining machine learning (ML) components with techniques developed by the Semantic Web (SW) community (SWeMLS), which is one of lessons learned from our large-scale survey (476 papers) on the topic. We elaborate the key information that should be described of SWeMLS and selected methods to support its documentation.

Originalsprache	Englisch
Titel des Sammelwerks	Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022)
Erscheinungsort	Aachen
Verlag	CEUR Workshop Proceedings
Publikationsstatus	Veröffentlicht - 2022
Veranstaltung	18th International Conference on Semantic Systems, SEMPDW 2022 - Vienna, Österreich Dauer: 13 Sept. 2022 → 15 Sept. 2022

Publikationsreihe

Reihe	CEUR Workshop Proceedings
Band	3235
ISSN	1613-0073

Konferenz

Konferenz	18th International Conference on Semantic Systems, SEMPDW 2022
Land/Gebiet	Österreich
Ort	Vienna
Zeitraum	13/09/22 → 15/09/22

Bibliographische Notiz

Publisher Copyright:
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)

Zugriff auf Dokument

http://ceur-ws.org/Vol-3235/Lizenz: CC BY

Andere Dateien und Links

Zitat

Ekaputra, F. J., Waltersdorfer, L., Breit, A., & Sabou, M. (2022). Towards a Standardized Description of Semantic Web Machine Learning Systems. in Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022) CEUR Workshop Proceedings. http://ceur-ws.org/Vol-3235/

Ekaputra, Fajar Juang ; Waltersdorfer, Laura ; Breit, Anna et al. / Towards a Standardized Description of Semantic Web Machine Learning Systems. Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022). Aachen : CEUR Workshop Proceedings, 2022. (CEUR Workshop Proceedings, Band 3235).

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title = "Towards a Standardized Description of Semantic Web Machine Learning Systems",

abstract = "In this paper, we report on our proposed approach towards a standardized description for systems combining machine learning (ML) components with techniques developed by the Semantic Web (SW) community (SWeMLS), which is one of lessons learned from our large-scale survey (476 papers) on the topic. We elaborate the key information that should be described of SWeMLS and selected methods to support its documentation.",

keywords = "machine learning, neuro-symbolic systems, semantic web",

author = "Ekaputra, \{Fajar Juang\} and Laura Waltersdorfer and Anna Breit and Marta Sabou",

note = "Funding Information: This work is supported by the FFG Project OBARIS (Grant Agreement Funding Information: This work is supported by the FFG Project OBARIS (Grant Agreement No 877389). Publisher Copyright: {\textcopyright} 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0); 18th International Conference on Semantic Systems, SEMPDW 2022 ; Conference date: 13-09-2022 Through 15-09-2022",

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language = "English",

series = "CEUR Workshop Proceedings",

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Ekaputra, FJ, Waltersdorfer, L, Breit, A & Sabou, M 2022, Towards a Standardized Description of Semantic Web Machine Learning Systems. in Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022). CEUR Workshop Proceedings, Aachen, CEUR Workshop Proceedings, Bd. 3235, 18th International Conference on Semantic Systems, SEMPDW 2022, Vienna, Österreich, 13/09/22. <http://ceur-ws.org/Vol-3235/>

Towards a Standardized Description of Semantic Web Machine Learning Systems. / Ekaputra, Fajar Juang; Waltersdorfer, Laura; Breit, Anna et al.
Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022). Aachen: CEUR Workshop Proceedings, 2022. (CEUR Workshop Proceedings, Band 3235).

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - Towards a Standardized Description of Semantic Web Machine Learning Systems

AU - Ekaputra, Fajar Juang

AU - Waltersdorfer, Laura

AU - Breit, Anna

AU - Sabou, Marta

N1 - Funding Information: This work is supported by the FFG Project OBARIS (Grant Agreement Funding Information: This work is supported by the FFG Project OBARIS (Grant Agreement No 877389). Publisher Copyright: © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)

PY - 2022

Y1 - 2022

N2 - In this paper, we report on our proposed approach towards a standardized description for systems combining machine learning (ML) components with techniques developed by the Semantic Web (SW) community (SWeMLS), which is one of lessons learned from our large-scale survey (476 papers) on the topic. We elaborate the key information that should be described of SWeMLS and selected methods to support its documentation.

AB - In this paper, we report on our proposed approach towards a standardized description for systems combining machine learning (ML) components with techniques developed by the Semantic Web (SW) community (SWeMLS), which is one of lessons learned from our large-scale survey (476 papers) on the topic. We elaborate the key information that should be described of SWeMLS and selected methods to support its documentation.

KW - machine learning

KW - neuro-symbolic systems

KW - semantic web

UR - https://permalink.obvsg.at/wuw/(CKB)1000000000770694

UR - https://www.scopus.com/pages/publications/85139764840

M3 - Contribution to conference proceedings

AN - SCOPUS:85139764840

T3 - CEUR Workshop Proceedings

BT - Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022)

PB - CEUR Workshop Proceedings

CY - Aachen

T2 - 18th International Conference on Semantic Systems, SEMPDW 2022

Y2 - 13 September 2022 through 15 September 2022

ER -

Ekaputra FJ, Waltersdorfer L, Breit A, Sabou M. Towards a Standardized Description of Semantic Web Machine Learning Systems. in Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022). Aachen: CEUR Workshop Proceedings. 2022. (CEUR Workshop Proceedings, Band 3235).