Ontotext: GraphDB Update Arrives
January 31, 2020
Semantic knowledge firm Ontotext has put out an update to its graph database, The Register announces in, “It’s Just Semantics: Bulgarian Software Dev Ontotext Squeezes Out GraphDB 9.1.” Some believe graph databases are The Answer to a persistent issue. The article explains:
“The aim of applying graph database technology to enterprise data is to try to overcome the age-old problem of accessing latent organizational knowledge; something knowledge management software once tried to address. It’s a growing thing: Industry analyst Gartner said in November the application of graph databases will ‘grow at 100 per cent annually over the next few years’. GraphDB is ranked at eighth position on DB-Engines’ list of most popular graph DBMS, where it rubs shoulders with the likes of tech giants such as Microsoft, with its Azure Cosmos DB, and Amazon’s Neptune. ‘GraphDB is very good at text analytics because any natural language is very ambiguous: a project name could be a common English word, for example. But when you understand the context and how entities are connected, you can use these graph models to disambiguate the meaning,’ [GraphDB product manager Vassil] Momtchev said.”
The primary feature of this update is support for the Shapes Constraint Language, or SHACL, which the World Wide Web Consortium recommends for validating data graphs against a set of conditions. This support lets the application validate data against the schema whenever new data is loaded to the database instead of having to manually run queries to check. A second enhancement allows users to track changes in current or past database transactions. Finally, the database now supports network authentication protocol Kerberos, eliminating the need to store passwords on client computers.
Cynthia Murrell, January 31, 2020
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