Advancing Cardiovascular Research: A Tailored Knowledge Graph Schema for Scholarly Data
This study develops a domain-specific schema for a cardiovascular disease knowledge graph, incorporating scholarly metadata with entities such as diseases, treatments, clinical trials, and genetic interactions. The schema was designed through a review of existing frameworks, ontologies, and knowledge bases. The schema provides a strong basis for furthering cardiovascular research by supporting applications in drug discovery, clinical trial optimization, and personalized medicine.
Authors
- Sina Shool (ORCID: https://orcid.org/0000-0002-0280-3187)
- Ehsan Bitaraf (ORCID: https://orcid.org/0000-0002-6588-7349)
- Mahmood Tara (ORCID: https://orcid.org/0000-0003-3945-7772)
- Maryam Jafarpour (ORCID: https://orcid.org/0000-0001-7266-5018)
- Ali Moeini (ORCID: https://orcid.org/0000-0002-6408-3525)
Institutions
- Iran University of Medical Sciences (IR)
- University of Tehran (IR)
- Shaheed Rajaei Cardiovascular Medical and Research Center (IR)
- Medical University of Vienna (AT)
Publication Details
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/icwr65219.2025.11006231
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00