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)