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Ontotext’s GraphDB 8.7 Offers Better Scalability, Performance and Data Governance

By   /  October 12, 2018  /  No Comments

A recent press release reports, “Ontotext is releasing GraphDB 8.7 – the latest version of its semantic graph database adding support for concept-matching in knowledge graphs thanks to a new plugin returning similar terms, documents and entities based on statistic semantics methods like Random Projection. This release also includes performance improvements that enable efficient query federation across repositories hosted in a single database instance and faster updates in big knowledge graphs. Active repositories can now be used as a source for backup, without downtime for reading operations even in non-cluster environments.”

The release goes on, “GraphDB release 8.7. features the Semantic Vectors package, integrated as a plugin. It enriches the RDF graph with a semantic similarity indices, based on a highly scalable reduced dimensionality vector space model. Similar to the full-text search connectors of GraphDB, developers and administrators can define various indices, which cover specific types of documents and entities, specific attributes and property paths. Unlike full-text search, one can search for similarity across all combinations of terms and documents: get terms similar to a given one, find similar entities or documents, search for a document by term or get terms most characteristic for a document.”

Read more at PR Newswire.

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