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GRAKN.AI: The hyper-relational database for knowledge-oriented systems

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If you have a question about this talk, please contact Jan Samols .

Intelligent systems process knowledge that is far too complex for current databases. They require more expressive data schemas and intelligent query languages to provide a strong abstraction over complex data and their relationships. In this talk, we will discuss how GRAKN .AI, a distributed hyper-relational database, enables knowledge-oriented systems to work with complex data that serves as a knowledge base. We will also discuss how Graql, Grakn’s reasoning (through OLTP ) and analytics (through OLAP ) query language, provides a much higher-level abstraction over traditional query language. And finally, we will demonstrate how Graql’s language serves as unified data representation of data for cognitive systems.

This talk is part of the Technical Talks - Department of Computer Science and Technology series.

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