SemNet Explorer: An Evidence-Grounded Knowledge Graph–LLM Framework for Multi-Scale Mechanistic Reporting Across Biomedical Domains
- DOI
- 10.3390/bdcc10060171
- Published
- 2026-05-25
- Container
- Big Data and Cognitive Computing
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/bdcc10060171,
title = {SemNet Explorer: An Evidence-Grounded Knowledge Graph–LLM Framework for Multi-Scale Mechanistic Reporting Across Biomedical Domains},
author = {Xin He and David Camacho and Lama Moukheiber and Meghna Iyer and Benjamin Zhao and Christophe Ye and Batuhan Nursal and Xinyu Guo and Albert J. B. Lee and Cassie S. Mitchell},
year = {2026},
journal = {Big Data and Cognitive Computing},
doi = {10.3390/bdcc10060171},
url = {https://doi.org/10.3390/bdcc10060171}
}RIS
TY - JOUR TI - SemNet Explorer: An Evidence-Grounded Knowledge Graph–LLM Framework for Multi-Scale Mechanistic Reporting Across Biomedical Domains AU - Xin He AU - David Camacho AU - Lama Moukheiber AU - Meghna Iyer AU - Benjamin Zhao AU - Christophe Ye AU - Batuhan Nursal AU - Xinyu Guo AU - Albert J. B. Lee AU - Cassie S. Mitchell PY - 2026 JO - Big Data and Cognitive Computing DO - 10.3390/bdcc10060171 UR - https://doi.org/10.3390/bdcc10060171 ER -
APA
He, X., Camacho, D., Moukheiber, L., Iyer, M., Zhao, B., Ye, C., Nursal, B., Guo, X., Lee, A. J. B., & Mitchell, C. S. (2026). SemNet Explorer: An Evidence-Grounded Knowledge Graph–LLM Framework for Multi-Scale Mechanistic Reporting Across Biomedical Domains. Big Data and Cognitive Computing. https://doi.org/10.3390/bdcc10060171
Source records
- crossref · retrieved 2026-09-25T03:18:01.966Z