Direct ontology creation with semantic normalization built in, not a separate ETL/normalization engine. You map heterogeneous, un-normalized sources to the ontology, and the mapping layer reconciles them at query time, so consumers see one consistent semantic model regardless of how messy the sources are. When performance or external interoperability calls for it, Timbr can materialize into one of four cache tiers.
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