| |
|
EVENT DETAILS |
Cognitive/AI systems process knowledge that is far too complex for current databases. They require an expressive data model & an intelligent query language to perform knowledge engineering over complex datasets.
In this talk, we will discuss how Grakn, a database to organise complex networks of data & make it queryable, provides the knowledge graph foundation for intelligent systems to manage complex data.
We will discuss how Graql, Grakn's reasoning (through OLTP) & analytics (through OLAP) query language, provides the tools required to do the job: a knowledge schema, a logical inference language, a distributed analytics framework.
And finally, we will discuss how Graqls language serves as unified data representation of data for cognitive systems.
|
|
|
|
|
|
