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It would be useful to implement inference support that leverages the advantages of HDT indexes.
The rdflib package supports custom evaluation functions as documented at https://rdflib.readthedocs.io/en/stable/intro_to_sparql.html#custom-evaluation-functions and https://rdflib.readthedocs.io/en/stable/_modules/examples/custom_eval.html#customEval. However, a custom implementation of standard RDFS can be slow and miss opportunities for optimizations that HDT could provide.
Note that Issue #14 and the existing optimize_sparql() may be related.
The text was updated successfully, but these errors were encountered:
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It would be useful to implement inference support that leverages the advantages of HDT indexes.
The rdflib package supports custom evaluation functions as documented at https://rdflib.readthedocs.io/en/stable/intro_to_sparql.html#custom-evaluation-functions and https://rdflib.readthedocs.io/en/stable/_modules/examples/custom_eval.html#customEval. However, a custom implementation of standard RDFS can be slow and miss opportunities for optimizations that HDT could provide.
Note that Issue #14 and the existing optimize_sparql() may be related.
The text was updated successfully, but these errors were encountered: