What we're about

Intelligent/Cognitive Systems consume data that are too complex for current databases to handle. GRAKN.AI is a knowledge graph that allows you to perform knowledge engineering to manage this complexity. Effectively, Grakn provides a Knowledge Base (aka. Knowledge Graph) as the core foundation of intelligent systems.

Grakn provides an intelligent query language, Graql: Grakn’s reasoning (through OLTP) and analytics (through OLAP) query language, which is a much higher-level abstraction over traditional query languages. This allows intelligent systems to benefit from an intuitive language the provides an expressive schema for knowledge modelling, reasoning transactions for real-time inference, distributed algorithms for large-scale analytics, and optimisation of query execution. Grakn also provides the logical integrity of SQL, the scale of relationships of Graph databases, and the horizontal scalability of NoSQL.

In this community, we discuss the underlying technology and applications of the Grakn hyper-relational database. We will also discuss the techniques of a new software engineering principle, Knowledge-Driven Development, that Grakn now enables. The group is for engineers to demonstrate their solutions and share the lessons they learnt, as well as business leaders to learn applications of Grakn in their business.

Upcoming events (1)

Drug Discovery Knowledge Graph

The Bradfield Centre

⚛️ Drug Discovery Knowledge Graph Combinatorial chemistry has produced a huge amount of chemical libraries and data banks which include prospective drugs. However the fundamental problem still remains; how to take advantage of this data to identify the prospective nature of a compound as a vital drug? Traditional methodologies fail to provide a solution to this. Knowledge graphs, however, provide the framework which can make drug discovery much more efficient, effective and approachable. This radical advancement in technology gives access to model biological knowledge complexity as it is found at its core. With concepts such as hyper relationships, type hierarchies, automated reasoning and analytics we can finally model, represent, and query biological knowledge at an unprecedented scale. In this talk, we will demonstrate a methodology of using Grakn to create a drug discovery knowledge graph. 🎤 Syed Irtaza Raza, Software and Biomedical Engineer @ Grakn Labs Syed is a Software and Biomedical Engineer at Grakn, primarily working on introducing the world on 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. With a background in Electrical, Software and Biomedical Engineering, Syed’s mission is to discover and implement intelligent biomedical tools that are only possible with Grakn as a knowledge graph. Timings: 18.30 - 19.00: Networking & Drinks 19.00 - 19.45: Drug Discovery Knowledge Graph 19.45 - 21.00: Networking # Location Auditorium The Bradfield Centre Cambridge Science Park Cambridge The event is organised in collaboration with Central Working, the UK’s premier homegrown shared workspace provider, transforming the way people work and companies grow. Today we operate from eleven beautifully designed clubs across the UK, providing thousands of businesses with the environment, connections and support they need to thrive. Members have the option of dropping-in, occupying a permanent office or using a collaborative workspace. Central Working operates as a premier service business - our service is helping your company grow, introducing you to the people and organisations that can help you succeed. Our 30 Day Guarantee offers any member their money back if we don’t provide them with at least one valuable business connection in their first month.

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