World Data Ocean/large language model

large language model

One story filed under large language model on World Data Ocean. The newest of them: “Closing the Semantic Gap in Ocean Observation with an LLM-Driven Knowledge Framework”. Ocean observation generates vast datasets, yet instruments and their measurements remain isolated, creating a semantic gap that blocks automated interoperability. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to… The list below is every large language model story on World Data Ocean, newest first.

Closing the Semantic Gap in Ocean Observation with an LLM-Driven Knowledge Framework
Frontiers in Marine Science | New and Recent Articles

Closing the Semantic Gap in Ocean Observation with an LLM-Driven Knowledge Framework

Ocean observation generates vast datasets, yet instruments and their measurements remain isolated, creating a semantic gap that blocks automated interoperability. Our GLM-OOTKG framework directly addresses this by constructing a knowledge graph that connects hardware specifications to geophysical parameters. A constraint-based prompting strategy curbs LLM hallucinations, while a dual-weighted ranking algorithm resolves terminological inconsistencies. The result is a structured, machine-readable metadata foundation for multi-source data assimilation. For related work on data harmonization, see our piece on strengthening small-scale fisheries across the Western Indian Ocean.