timbr.ai News

Announcing:
Automated Graph Algorithms (AutoGA) for data lakes and data warehouses

Tel Aviv, Israel – August 2020 

timbr.ai announces the availability of the Automatic Graph Algorithms module of the SQL Knowledge  Graph.
timbr’s graph algorithms module is the first to enable running of graph algorithms over relational data. The module includes a library of commonly used graph algorithms and handles the process of selecting, editing and running the algorithms.
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Announcing:
Israel’s Covid-19 SQL Knowledge Graph

Tel Aviv, Israel – March 20, 2020 

The timbr SQL Knowledge Graph platform has been selected as the enabling infrastructure of Israel’s government COVID-19 knowledge graph, mustering the publicly available data sources generated worldwide in the fight against COVID-19. Delivered in under 10 days, the knowledge graph is integrated into a collaborative, powerful, comprehensive, AI-enabled and easy to use platform to provide researchers, analysts, data scientists and organizations with the necessary semantic access to unified data and analytical tools to evaluate and develop recommendations in the fight against COVID-19.
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Announcing:
Graph Data Exploration for data lakes and data warehouses

Tel Aviv, Israel – January 2020 

The graph data exploration module allows users to visualize the underlying data as a connected graph to explore and discover relationships and dependencies in the data. The module enables traversing of the entire organizational data viewed as a single connected graph, so users can better understand the data, discover hidden value and expose the data without need of extracting tables or views before running a query.
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2019

Announcing:
timbr-DBpedia SQL Knowledge Graph

Tel Aviv, Israel and Leipzig, Germany – July 18, 2019 

timbr.ai (WP-Semantix) and the DBpedia Association launch first SQL Semantic Knowledge Graph that Integrates Wikipedia and Wikidata Knowledge into SQL engines.

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