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

^*Corresponding author for this work

Institute for Data, Process and Knowledge Management (AE Sabou)

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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.

Original language	English
Title of host publication	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)
Place of Publication	Aachen
Publisher	CEUR Workshop Proceedings
Publication status	Published - 2022
Event	18th International Conference on Semantic Systems, SEMPDW 2022 - Vienna, Austria Duration: 13 Sept 2022 → 15 Sept 2022

Publication series

Series	CEUR Workshop Proceedings
Volume	3235
ISSN	1613-0073

Conference

Conference	18th International Conference on Semantic Systems, SEMPDW 2022
Country/Territory	Austria
City	Vienna
Period	13/09/22 → 15/09/22

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

Keywords

machine learning
neuro-symbolic systems
semantic web

Access to Document

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

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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, Vol. 3235).

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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.",

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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",

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booktitle = "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)",

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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, vol. 3235, 18th International Conference on Semantic Systems, SEMPDW 2022, Vienna, Austria, 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, Vol. 3235).

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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

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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, Vol. 3235).

Towards a Standardized Description of Semantic Web Machine Learning Systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

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