This reduces the need for users to have a deep understanding of the graph structure and query language. Traditionally, developing a knowledge graph involved custom software development ...

This may come as a shock if you've first encountered knowledge graphs in ... not enough confusion already regarding graph: GraphQL is not a graph query language. As Stardog put it, more developers ...

This process involves encoding textual data, indexing it for efficient retrieval, encoding the query ... knowledge graph construction and noise management, integrating symbolic and neural ...

To start building your knowledge graph, set up a Neo4j database. It will be the backbone of your project. You’ll use the Cypher query language to add, change, and find complex network data.

Essentially, users can search for places, people, companies, and products and find instant results that are most relevant to the query. The Knowledge Graph ... as it is the language I am most ...

Google just announced a small but interesting update to its Knowledge Graph panels ... now shows you how they are related to your search query. Currently, Google says, this works for actors ...

Facebook's GraphQL data query and manipulation language has left the nest and will fly on its own. Facebook created GraphQL in 2012 and released the source code in 2015, but the social media company ...