Research topic
Biomedical Text Mining and Ontologies
Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology
About Biomedical Text Mining and Ontologies
This cluster of papers focuses on the development and application of biomedical ontologies, text mining, and natural language processing techniques to extract and integrate knowledge from biomedical literature. It encompasses topics such as gene annotation, disease integration, phenotype ontology, data integration, and the use of semantic web technologies in knowledge management.
Keywords
Biomedical Ontologies Text Mining Biomedical Literature Gene Annotation Disease Integration Phenotype Ontology Knowledge Management Data Integration Semantic Web Natural Language Processing
Development over time
| Year | research outputs |
|---|---|
| 2026 | 1 |
| 2025 | 1 |
Units
Units represented in this topic
| Units |
|---|
ANKH Institute2 Research outputs |
Predictive Systems Lab2 Research outputs |
People
Researchers represented in this topic
Here, researchers who have publications in OSIRIS assigned to this spectrum topic are displayed. For better clarity, only a selection is shown.
Dr. Julia Koblitz
2 Research outputsThe assignment of publications to topics is done automatically and may be incomplete or incorrect. If a person does not appear in the list, it does not mean that they could not have contributed to the topic.