Ontotext’s GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
SOFIA, Bulgaria, June 13, 2019 /PRNewswire/ — Ontotext has just released the latest backward compatible update, 8.10, of its signature semantic graph database GraphDB, making the knowledge graph experience quicker, easier and more productive.
In GraphDB 8.10, Ontotext has also improved and optimized the semantic graph database’s performance with plugin and connector parallelization. This parallelization increases the performance of connectors and plugins during creation, rebuilding and updating when the engine detects free CPU cores. The plugin manager spans multiple threads and notifies the plugins in parallel at the end of each transaction, instead of serially. The connector parallelization also increases performance during the initial indexing and in incremental indexing when users add or remove data to the repository.
The latest version of GraphDB also enhances semantic similarity searches by introducing Locality-Sensitive Hashing algorithms for similarity indexes. These algorithms improve the quality of topic suggestions by evaluating the GraphDB semantic vectors.
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For over two decades Ontotext has brought together knowledge, data and analytics transforming how organizations identify meaning across diverse databases and massive amounts of unstructured data through knowledge graphs.
Ontotext makes tailor-made solutions across multiple sectors: media and publishing, life sciences, government and cultural heritage, financial services and more. Their client list includes news and media agencies like the BBC and Financial Times, top Academic publishers like Elsevier, Springer Nature and Wiley, leading pharmacological companies such as AstraZeneca, public institutions including the UK Parliament, Kadastr. NL and US Department of Defense, and cultural institutions like the British Museum, The National Gallery of USA and Getty Trust.