Grakn knowledge graph in the domain of biomedical sciences

Open Source NoSQL Databases User Group would like to invite you for the next meeting of the group that will take place on 29th Mar 2019 between 18:00 and 19:30 at MIM UW (Banacha 2a). Subject this time will be Grakn knowledge graph in the domain of biomedical sciences.

Cognitive/AI systems process knowledge that is far too complex for current databases. They require an expressive data model and an intelligent query language to perform knowledge engineering over complex datasets. In this talk, we will provide an introduction to GRAKN.AI. GRAKN.AI is a database to organise complex networks of data and make it queryable. In this talk, we will discuss how Grakn can provide the knowledge base foundation for intelligent systems to manage their complex data. We will discuss how Graql, Grakn's reasoning (through OLTP) and 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 Graql's language serves as a unified data representation of data for cognitive systems.

Bio:

Syed Irtaza Raza, Software and Biomedical Engineer @ Grakn Labs Syed is a Software and Biomedical Engineer at Grakn, primarily working on introducing the world to how to use a knowledge graph such as Grakn to build cognitive/intelligent systems in the Biomedical domain. To achieve this, he is implementing innovative examples as templates and ideas for how clients and community members may apply in their own specific projects of any field.