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Machine Learning upon RDF Knowledge Graphs for Drug Safety: A Case Study on Reactome Data.
- Source :
-
Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 873-874. - Publication Year :
- 2024
-
Abstract
- Artificial Intelligence (AI), particularly Machine Learning (ML), has gained attention for its potential in various domains. However, approaches integrating symbolic AI with ML on Knowledge Graphs have not gained significant focus yet. We argue that exploiting RDF/OWL semantics while conducting ML could provide useful insights. We present a use case using signaling pathways from the Reactome database to explore drug safety. Promising outcomes suggest the need for further investigation and collaboration with domain experts.
Details
- Language :
- English
- ISSN :
- 1879-8365
- Volume :
- 316
- Database :
- MEDLINE
- Journal :
- Studies in health technology and informatics
- Publication Type :
- Academic Journal
- Accession number :
- 39176931
- Full Text :
- https://doi.org/10.3233/SHTI240550