BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:GRAKN.AI: The hyper-relational database for knowledge-oriented sys
 tems - Haikal Pribadi\, Founder and CEO of GRAKN.AI
DTSTART:20171016T120500Z
DTEND:20171016T130000Z
UID:TALK93352@talks.cam.ac.uk
CONTACT:Jan Samols
DESCRIPTION:Intelligent systems process knowledge that is far too complex 
 for current databases. They require more expressive data schemas and intel
 ligent query languages to provide a strong abstraction over complex data a
 nd their relationships. In this talk\, we will discuss how GRAKN.AI\, a di
 stributed hyper-relational database\, enables knowledge-oriented systems t
 o work with complex data that serves as a knowledge base. We will also dis
 cuss how Graql\, Grakn's reasoning (through OLTP) and analytics (through O
 LAP) query language\, provides a much higher-level abstraction over tradit
 ional query language. And finally\, we will demonstrate how Graql’s lang
 uage serves as unified data representation of data for cognitive systems.
LOCATION:FW11\, Computer Laboratory
END:VEVENT
END:VCALENDAR