Structured knowledge representation of the South China Sea: An LLM-based knowledge graph approach

Ruinan Zhao, Zhifan Han, Huiling Liu

Open source

DOI: 10.1371/journal.pone.0351132
Published: 2026-06-11
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0351132,
  title = {Structured knowledge representation of the South China Sea: An LLM-based knowledge graph approach},
  author = {Ruinan Zhao and Zhifan Han and Huiling Liu},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0351132},
  url = {https://doi.org/10.1371/journal.pone.0351132}
}

RIS

TY  - JOUR
TI  - Structured knowledge representation of the South China Sea: An LLM-based knowledge graph approach
AU  - Ruinan Zhao
AU  - Zhifan Han
AU  - Huiling Liu
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0351132
UR  - https://doi.org/10.1371/journal.pone.0351132
ER  -

APA

Zhao, R., Han, Z., & Liu, H. (2026). Structured knowledge representation of the South China Sea: An LLM-based knowledge graph approach. PLOS One. https://doi.org/10.1371/journal.pone.0351132

Source records

crossref · retrieved 2026-09-25T00:20:22.868Z