"on2vec: Ontology Embeddings with Graph Neural Networks and Sentence Transformers" https://doi.org/10.37044/osf.io/4f763_v1

"Ontologies provide structured vocabularies and relationships essential for organizing biological knowledge, yet their symbolic nature limits integration with modern machine learning methods. Leveraging recent advances in graph neural networks (GNNs) and transformer-based language models, we present on2vec, a toolkit developed during the DBCLS BioHackathon 2025 for generating vector embeddings from OWL ontologies. on2vec integrates structural information from ontology hierarchies with semantic features from textual annotations using HuggingFace Sentence Transformers, producing domain-aware embeddings suitable for downstream biomedical applications and ontology-based reasoning tasks." https://index.biohackrxiv.org//2025/10/21/4f763.html

#biohackathon #ontology #BH25JP

"on2vec: Ontology Embeddings with Graph Neural Networks and Sentence Transformers" https://doi.org/10.37044/osf.io/4f763_v1

"Ontologies provide structured vocabularies and relationships essential for organizing biological knowledge, yet their symbolic nature limits integration with modern machine learning methods. Leveraging recent advances in graph neural networks (GNNs) and transformer-based language models, we present on2vec, a toolkit developed during the DBCLS BioHackathon 2025 for generating vector embeddings from OWL ontologies. on2vec integrates structural information from ontology hierarchies with semantic features from textual annotations using HuggingFace Sentence Transformers, producing domain-aware embeddings suitable for downstream biomedical applications and ontology-based reasoning tasks." https://index.biohackrxiv.org//2025/10/21/4f763.html

#biohackathon #ontology #BH25JP

"AI in Practice: Insights from a Community Survey of Biohackathon Participants" https://doi.org/10.37044/osf.io/pza7v_v1

"Findings reveal that most participants are frequent AI users, with tools like ChatGPT, Gemini, and Claude widely adopted, with ChatGPT as number one response. AI is primarily used to assist or draft tasks in coding, research, and writing, while full task automation remains uncommon, reflecting a preference for AI as a collaborative aid rather than a replacement." https://index.biohackrxiv.org//2025/10/12/pza7v.html

#biohackathon #AI #BH25JP

"AI in Practice: Insights from a Community Survey of Biohackathon Participants" https://doi.org/10.37044/osf.io/pza7v_v1

"Findings reveal that most participants are frequent AI users, with tools like ChatGPT, Gemini, and Claude widely adopted, with ChatGPT as number one response. AI is primarily used to assist or draft tasks in coding, research, and writing, while full task automation remains uncommon, reflecting a preference for AI as a collaborative aid rather than a replacement." https://index.biohackrxiv.org//2025/10/12/pza7v.html

#biohackathon #AI #BH25JP

"Translating and Formalizing the MIRAGE Guidelines to a Prototype MIRAGE Ontology and DCAT3 Extension Vocabulary for Glycomics Data Management" https://doi.org/10.37044/osf.io/wj8bz_v1

"We present the first comprehensive semantic formalization of MIRAGE guidelines through an integrated RDF ontology framework comprising the MIRAGE Ontology and MIRAGE-DCAT3 vocabulary. The MIRAGE Ontology models glycan structures, biological specimens, analytical instruments, and experimental processes with formal OWL semantics and SHACL validation constraints." https://index.biohackrxiv.org//2025/09/30/wj8bz.html

#biohackathon #BH25JP #shacl #ontology

"Translating and Formalizing the MIRAGE Guidelines to a Prototype MIRAGE Ontology and DCAT3 Extension Vocabulary for Glycomics Data Management" https://doi.org/10.37044/osf.io/wj8bz_v1

"We present the first comprehensive semantic formalization of MIRAGE guidelines through an integrated RDF ontology framework comprising the MIRAGE Ontology and MIRAGE-DCAT3 vocabulary. The MIRAGE Ontology models glycan structures, biological specimens, analytical instruments, and experimental processes with formal OWL semantics and SHACL validation constraints." https://index.biohackrxiv.org//2025/09/30/wj8bz.html

#biohackathon #BH25JP #shacl #ontology