{"id":134,"date":"2024-10-23T14:18:31","date_gmt":"2024-10-23T05:18:31","guid":{"rendered":"https:\/\/www.aicritique.org\/us\/?post_type=kgstart&#038;p=134"},"modified":"2024-10-23T14:18:31","modified_gmt":"2024-10-23T05:18:31","slug":"blazegraph","status":"publish","type":"kgstart","link":"https:\/\/www.aicritique.org\/us\/kgstart\/blazegraph\/","title":{"rendered":"Blazegraph"},"content":{"rendered":"\n<p><strong>Features:<\/strong> Blazegraph is an open source, high-performance graph database engine, with particular strengths in RDF data and SPARQL queries. It has an in-memory processing engine and can perform distributed processing, providing scalable performance even on large datasets. Blazegraph is also used as part of the technical foundation of Amazon Neptune.<\/p>\n\n\n\n<p><strong>Usage cases<\/strong>: It is used to build web-scale knowledge graphs, manage research data, or for large-scale data integration projects. It is especially popular in the fields of scientific research and data science.<\/p>\n\n\n\n<p><strong>URL<\/strong>: https:\/\/blazegraph.com\/<\/p>\n\n\n\n<p><\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-134","kgstart","type-kgstart","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/kgstart\/134","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/kgstart"}],"about":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/types\/kgstart"}],"wp:attachment":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/media?parent=134"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}