Read about the opportunities for authoring and publishing workflows opened by an RDF triplestore.
George Anadiotis talks to Neo4j CEO Emil Eifrem and Ontotext CTO Vassil Momtchev about the RDF graph data model, its value and how it is different from other graph data models out there.
Vassil discusses the benefits and use cases of RDF as well as Ontotext’s leading RDF Graph database engine. He explains:
RDF databases are very good at representing complex metadata, reference, and master data. Nearly all of our clients use this technology for the representation of concepts with high complexity, where semantic context and data quality are critical.
RDF technology is very powerful in setting standards on how to publish, classify or report information. Its strongest feature is the ability to share and publish data in an open way.
If you want to expose data so it can be easily consumed by other users, federated across different information systems, or linked by a third party system, it’s a technology without many viable alternatives actually. The main area of use cases for GraphDB is where organizations manage highly valuable data.
This includes content providers storing highly valuable information that does not expire, and need a standard way to publish information assets are typical users. Benefits include increased discoverability, better semantic context, easier knowledge exploration, and navigation.
Read the whole interview here.
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