Aug 15, 2022 · We present our SWeMLS lifecycle framework, providing a unified view on Semantic Web, Machine Learning, and their interaction in a SWeMLS.
A Lifecycle Framework for Semantic Web Machine Learning Systems ; Database and Expert Systems Applications - DEXA 2022 Workshops · 33rd International Conference, ...
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We present our SWeMLS lifecycle framework, providing a unified view on Semantic Web, Machine Learning, and their interaction in a SWeMLS.
A Lifecycle Framework for Semantic Web Machine Learning Systems. https://doi.org/10.1007/978-3-031-14343-4_33. Journal: Communications in Computer and ...
The research seeks to create a structured framework for documenting and visualising the essential elements “SWeML” systems.
Jul 28, 2022 · “Semantic Web Machine Learning Systems (SWeMLS) characterise applications, which combine symbolic and subsymbolic components in innovative ways.
missing covering both lifecycles of machine learning and semantic web compo- nents. There are initial efforts, focusing on one subcomponent, such as Model.
Feb 26, 2021 · Semantic web is not popular because it doesn't work in the business world. Noone but raw citizens have reasons to make it work.
Missing: Framework Systems.
Jul 17, 2023 · SWeML Systems are the result of combining SW technologies and an inductive model. More precisely, they describe a system that makes use of an SW ...
Sep 15, 2022 · Waltersdorfer, F. J. Ekaputra, M. Sabou, T. Miksa, A lifecycle framework for semantic web machine learning systems (accepted), in: DEXA, 2022.