SWI Prolog and knowledge graphs

Note that instead of using :-include(train)., by better use

:- ensure_loaded(train).

and prior run

swipl qlf compile train.pl

That saves nearly a second. Do the same trick for the other larger include files.

In general I’m not really surprised. PyClause is fast, but it is a dedicated machinery for a single task in C++ as opposed to a generic machine. As we have seen, you can also speedup a couple of times by writing the Prolog code optimally and some more exploiting concurrency.

1 Like