Ontario: A Semantic Data Lake for heterogeneous data

Ontario is a Semantic Data Lake capable of storing and querying heterogeneous data (e.g., csv, xml, rdf) in its original format. Ontario uses the RDF molecules approach as a logical representation of the heterogeneous data. MULDER federated query engine leverages RDF molecules metadata to efficiently perform query decomposition, source selection, query planning, and query execution.

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