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To materialize aggregated information about collections, item-level Knowledge Graph elements need to be queried.
To this end, one n-triples file is created for every WARC file.
However, some WARC files may result in large n-triples files. Especially an initial crawl fetching the last 3,600 tweets from multiple accounts lead to at least 1 GB n-triples in our initial tests.
Similarly to how the KG generation is triggered by a warc_created message, a HDT compression could be triggered by the KG generation. Alternatively, the KG generation component could perform the HDT compression immediately.
The text was updated successfully, but these errors were encountered:
To materialize aggregated information about collections, item-level Knowledge Graph elements need to be queried.
To this end, one n-triples file is created for every WARC file.
However, some WARC files may result in large n-triples files. Especially an initial crawl fetching the last 3,600 tweets from multiple accounts lead to at least
1 GB
n-triples in our initial tests.Similarly to how the KG generation is triggered by a
warc_created
message, a HDT compression could be triggered by the KG generation. Alternatively, the KG generation component could perform the HDT compression immediately.The text was updated successfully, but these errors were encountered: