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We need a pair of functions for querying ubergaph that include stripping redundancy (see #28 for rationale, discussion and example use cases).
Given a set of subjects and a property and a target ontology return all triples from the redundant graph with specified subject and property and most specific subject class in the target ontology. Return should be a pandas dataframe of triples following standards established for all other pandasaurus queries.
As 1, but given set set of objects, returning the most specific subject.
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Add redundancy stripping function that finds most specific object terms for any query of the redundant graph.
Add redundancy stripping functions for UberGraph queries
Aug 6, 2023
We need a pair of functions for querying ubergaph that include stripping redundancy (see #28 for rationale, discussion and example use cases).
Given a set of subjects and a property and a target ontology return all triples from the redundant graph with specified subject and property and most specific subject class in the target ontology. Return should be a pandas dataframe of triples following standards established for all other pandasaurus queries.
As 1, but given set set of objects, returning the most specific subject.
See https://api.triplydb.com/s/C3Nf1qnYu for example of SPARQL query logic (Needs modification to fit the above specs.
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