A unique SQL knowledge graph that provides semantic access to DBpedia and facilitates DBpedia knowledge integration into standard data warehouses and data lakes has been launched. The launch was announced by WP-Semantix (WPS) — the "SQL Knowledge Graph Company™" and DBpedia Association — Institut für Angewandte Informatik e.V.
DBpedia is the crowd-sourced community effort to extract structured content from 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.
Following the publication of DBpedia and Freebase 12 years ago, knowledge graphs became popular and are used in applications. Essentially, knowledge graphs are databases developed to store knowledge in a machine-readable form, organized as connected, context-enriched data. In this regard, DBpedia is the most successful open knowledge graph. It receives 20 million hits daily (all APIs) and 4000 website visitors weekly, and serves 0.6 million files per year.
So, why is the launch of a unique SQL knowledge graph, significant? timbr-DBpedia SQL Semantic Knowledge Platform is a unique version of WPS' timbr SQL Knowledge Graph. It employs standard SQL 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. 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 can be a game-changing solution by enabling the semantic inference capabilities needed in many modeling applications to be done in SQL. This approach will enable many users to get the advantages of semantic AI technologies and data integration without the learning curve needed for other systems. By giving more people access to the semantic version of Wikipedia, timbr-DBpedia will contribute to allowing the majority of the market to explore the power of semantic technologies.
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