Is there a way to speed up the loading of rdf files in Sesame? I have files ranging in size from a few MB to several GB in N-triple format. I tried the first three approaches in the Sesame Cook Book , but to no avail. I uploaded a 700 MB file in 17 hours, dividing the input file on every 500,000th line (approach 2 in the cookbook ). Sesame runs on a commodity machine with Windows 7.
Bonus part: I want to perform data output, but store the received data in a separate sesame repository (or, alternatively, in a different context / graphic in the same repository). In fact, I want to store data in two versions, which are “regular” rdf and optimized for certain requests, therefore, the need to store them separately. I watched CustomGraphQueryInferencer , but did not understand if I can use this to store data separately. In addition, the CustomGraphQueryInferencer seems to slow down loading times dramatically, which makes it very unattractive. Any alternative solutions?
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