github.com/ad-freiburg/QLever
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12- 121 links togithub.com
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- 2 links toad-publications.cs.uni-freiburg.de
- 2 links toresources.github.com
- 1 link toad-publications.informatik.uni-freiburg.de
- 1 link tocodecov.io
- 1 link togithub.blog
- 1 link topartner.github.com
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GitHub - 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.
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. - ad-freiburg/qlever
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GitHub - 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.
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. - ad-freiburg/qlever
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GitHub - 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.
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. - ad-freiburg/qlever
General Meta Tags
46- titleGitHub - 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.
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Open Graph Meta Tags
9- og:imagehttps://opengraph.githubassets.com/be68c59a31484a178a4a752b719ddc11b699f2c3effe255ae3b4963491dbef9e/ad-freiburg/qlever
- og:image:altVery 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...
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- og:site_nameGitHub
Twitter Meta Tags
5- twitter:imagehttps://opengraph.githubassets.com/be68c59a31484a178a4a752b719ddc11b699f2c3effe255ae3b4963491dbef9e/ad-freiburg/qlever
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- twitter:titleGitHub - 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.
- twitter:descriptionVery 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...
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Links
137- http://qlever.cs.uni-freiburg.de
- https://ad-publications.cs.uni-freiburg.de/CHAPTER_knowledge_graphs_BKKK_2023.pdf
- https://ad-publications.cs.uni-freiburg.de/CIKM_sparql_autocompletion_BKKKS_2022.pdf
- https://ad-publications.informatik.uni-freiburg.de/CIKM_qlever_BB_2017.pdf
- https://codecov.io/github/ad-freiburg/qlever