WP-Semantix (WPS) and DBpedia Association have debuted the timbr-DBpedia SQL Semantic Knowledge Platform, a unique version of WPS' timbr SQL Knowledge Graph that provides for the first time semantic access to DBpedia knowledge in SQL and facilitates DBpedia knowledge integration into standard data warehouses and data lakes.

DBpedia is the crowd-sourced community effort to extract structured content from the information created in various Wikimedia projects and publish these as files on DBpedia's Databus. This structured information resembles an open knowledge graph which is available for query by everyone on the Web.

Knowledge graphs are databases developed to store knowledge in a machine-readable form, organized as connected, context-enriched data. Following the publication of DBpedia and Freebase 12 years ago, knowledge graphs became popular and used in applications such as Google's knowledge cards displayed in search results. DBpedia is the most successful open knowledge graph with 20 million hits daily (all APIs), 4000 website visitors weekly and 0.6 million files served per year.

Amit Weitzner, founder and CEO at WPS commented that "Knowledge graphs use specialized languages, require resource-intensive, dedicated infrastructure and require costly ETL operations. That is, they did until timbr came along. timbr employs standard SQL the most widely known database language, to provide knowledge graph functionality based on Semantic Web principles and to eliminate the technological barriers to entry for enterprise's use of knowledge graphs."

Dan Weitzner, founder and VP R&D at WPS commented that "timbr transforms big data engines into reasoning machines by enabling modeling of data as connected, context-enriched concepts with inference and graph traversal capabilities while being queryable in standard SQL. timbr-DBpedia is DBpedia's only SQL-based interface, so we are very excited by the prospects of our cooperation with DBpedia to enable the largest user base...

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