RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things. Plus, there's a bunch of RDF-based graph ...

your next step is to build a graph data model. This isn’t as daunting as it seems. Your best bet is to build on a query language that is similar to SQL, a popular, robust and enterprise-friendly ...

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

As you might have noticed, there isn’t any new information in the graph data model that we couldn’t capture in a traditional relational data model. After all, it’s simple to describe ...

For example, LDBC collaboration has helped drive standardization of the graph data model and query languages. This standardization helps ease the definition of benchmarks and is valuable to users ...

Given the current representational problem, many companies now understand that only the semantic graph data model is able to represent data that is natively stored in any other structures and to ...

which brings graph data model capabilities. >>Don’t miss our special issue: Building the foundation for customer data quality.<< A graph database is a type of data model structured to help users ...

Here are just a few examples: It all starts with the foundation. Many perceive the graph data model as applicable to networks or similar constructs. But, the killer application of graph is rapid large ...

That means that we found a way that we can combine the JSON document data model, the graph model, and the key-value model in one database core with one query language." Today ArangoDB is a US ...

The new database, dubbed Aerospike Graph, adds a property graph data model to the existing capabilities of its NoSQL database and Apache TinkerPop graph compute engine, the company said.