#本体

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Nov 5
Sep 30
ModelsBuildersSelected10:41
EvoOntology for Data Agents

EvoOntology solves the critical challenge of semantic drift in data agents by creating a versioned, evolvable knowledge layer that accumulates evidence from real workloads. For developers working with heterogeneous data systems, this approach provides a practical method to maintain semantic accuracy without constant manual intervention or context window limitations.

shao__meng@shao__mengSource
Aug 24
Aug 3