Dear Editors, We are happy to submit our manusript to the NeSy 2024 special issue part of the Neuro-Symbolic AI Journal. In this paper, we extend our work presented at the NeSy 2024 conference by formalizing and expanding our methodology for integrating knowledge graph (KG) embeddings into machine learning (ML) pipelines. We have developed and tested eight different approaches for augmenting the training set with semantic knowledge, incorporating two additional embedding techniques beyond those previously utilized, for two domains. We believe that our enhanced methodology and comprehensive evaluation provide significant contributions to the field of neuro-symbolic AI, particularly in the context of data augmentation with semantic knowledge within ML models. Thank you for considering our manuscript. We appreciate your time and look forward to your feedback. Best Regards The author team