AllegroGraph 6.5 Marks Multi-model Semantic Graph and Document Database

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A recent press release reports, “Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Semantic Graph Database technology for Knowledge Graphs, today announced AllegroGraph v6.5 , the first multi-model semantic graph database to support the ingestion of JSON and JSON-LD documents, comma separated value (CSV) files and RDF data. AllegroGraph 6.5 makes it possible to automatically link structured RDF data to information within JSON documents based on semantic concepts, allowing users to perform graph analytics across linked data within databases, document stores and CSV files.”

The release goes on, “Traditional document databases have excelled at storing documents at scale, but are not designed for linking data to other documents in the same database or in different databases. AllegroGraph 6.5 delivers the unique power to define many different types of documents that can all point to each other using standards-based semantic linking and allow users to run SPARQL queries, conduct graph searches, execute complex joins and even apply Prolog AI rules directly on a diverse sea of objects.”

Dr. Jans Aasman, CEO of Franz Inc., commented, “Organizations have an enormous amount of information stored within documents and CSV files… But running a single query across documents, CSV files and structured data has been a challenge. We solve this challenge with AllegroGraph 6.5 by automatically linking objects in documents to other data objects in CSV files and RDF stores – instantly providing a much richer dataset that can be easily queried using SPARQL and produce real-time knowledge.”

Read more at allegrograph.com.

Image used under license from Shutterstock.com

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