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ad-freiburg / qlever

Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.
Apache License 2.0
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ENCODE_FOR_URI #1123

Closed hannahbast closed 11 months ago

hannahbast commented 1 year ago

@greenBene and cc @joka921 I think it would be a great continuation of your #1116 to implement the ENCODE_FOR_URI. Boost now has a URL class (it didn't have for the longest time), which (I think) provides this functionality. We should use the occasion to check whether the UrlParser in https://github.com/ad-freiburg/qlever/tree/master/src/util/http shouldn't be replaced by functionality from Boost.

greenBene commented 1 year ago

Hi Hannah, ENCODE_FOR_URI sounds interesting and I´d like to give it a try! @joka921also suggested the implementation of the hash functions (https://www.w3.org/TR/sparql11-query/#func-hash) as a next step. Do you have any preference what I should prioritize?

joka921 commented 1 year ago

Hi, Definitely ENCODE_FOR_URI which is much more relevant than the hashing functions.

greenBene commented 1 year ago

Okay! :) I'll start working on it next week! Thank you both!