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

Publikation: Beitrag in Buch/KonferenzbandBeitrag 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.

OriginalspracheEnglisch
Titel des SammelwerksProceedings 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)
ErscheinungsortAachen
VerlagCEUR Workshop Proceedings
PublikationsstatusVeröffentlicht - 2022
Veranstaltung18th International Conference on Semantic Systems, SEMPDW 2022 - Vienna, Österreich
Dauer: 13 Sept. 202215 Sept. 2022

Publikationsreihe

ReiheCEUR Workshop Proceedings
Band3235
ISSN1613-0073

Konferenz

Konferenz18th International Conference on Semantic Systems, SEMPDW 2022
Land/GebietÖsterreich
OrtVienna
Zeitraum13/09/2215/09/22

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)

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