Ontologies can help to store the domain knowledge with all appropriate relations between the concepts. This work describes an approach for capturing workflows.
The aim is the transfer of procedural knowledge from a source into a target domain and the feasibility of using a process-oriented ontology as a means for ...
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Mar 22, 2021 · Abstract. This work is a position paper for the examination of ontology-based transfer learning in the context of business processes.
FIDES is a tool that leverages ontologies for representing, structuring and setting formal relations among the predictive models and the forecasts that conform ...
Nov 12, 2022 · This study showed that ontologies have an important role in feature engineering to make heterogeneous clinical data accessible to machine learning models.
In this paper, we provide a semantic representation of WSPL in the description logic fragment species of the Web Ontology Language (OWL-DL). OWL-DL will provide ...
Abstract. This work is a position paper for the examination of ontology- based transfer learning in the context of business processes. We continue.
This work is a position paper for the examination of ontology-based transfer learning ... Ontology-based Representation of Workflows for Transfer Learning.
Ontology matching plays a pivotal role in aligning entities across diverse ontologies, enhancing interoperability and data exchange.
Missing: Workflows | Show results with:Workflows
Apr 18, 2023 · This study proposes an image classification model based on ontology and an ensemble stack of the Xception, VGG16, and ResNet50 models, which are ...