What we're about

### Welcome to the Grakn Community.

Whether you’ve found yourself here by a happy accident or because you are actively looking for an intelligent database, a knowledge graph, for your project, team, or organisation; we are glad you’re here.

You’ll find events on techniques for knowledge engineering, representation and automated reasoning as well as various use cases and applications being produced by our community. We’ll host deep dives into the technical aspects of Grakn and our query language, Graql; community presentations and panels; as well as share exclusive opportunities to share your work with the world.

### About Grakn and Graql

Grakn is a distributed knowledge graph: a logical database to organise large and complex networks of data as one body of knowledge. Grakn provides the knowledge engineering tools for developers to easily leverage the power of Knowledge Representation and Reasoning when building complex systems. Ultimately, Grakn serves as the knowledge-base foundation for cognitive and intelligent systems.

Graql is Grakn's query language. It provides an expressive knowledge schema language through an enhanced entity-relationship model, transactional queries that perform deductive reasoning in real-time, and analytical queries with native distributed Pregel and MapReduce algorithms. Graql provides a strong abstraction over low-level data constructs and complex relationships.

### Join in the Community!

** Join us on Discord: https://discord.com/invite/grakn
Aw come on, become part of the conversation, interact in real-time with the Grakn engineering team and other members of the user community. Let’s get talking!

** Start Building, Share some Love
Check us out on GitHub ( https://github.com/graknlabs ) and give Grakn a 🌟

** Interested in learning more about Grakn
Check out our Use Cases, blogs and much more. Visit: https://www.grakn.ai (https://www.grakn.ai/)

** Swag Out!
Our community has grown so much over 2020, and as we haven’t been able to host physical events, we haven’t been able to share the love with you all.

Well, we are changing that and we have created a handful of ways for you to earn some Grakn Swag! ( https://blog.grakn.ai/need-some-swag-2fa162151737 )

Upcoming events (5)

Disease Research Aided with a Knowledge Graph

Online event

Join the Grakn Labs Community for a talk on a Grakn Community project, BioGrakn. Hosted by: Tomás Sabat and Daniel Crowe We’re excited to release an open source knowledge graph to speed up the research into Covid-19. Our goal is to provide a way for researchers to easily analyse and query large amounts of data and papers related to the virus. BioGrakn Covid makes it easy to quickly trace information sources and identify articles and the information therein. This first release includes entities extracted from Covid-19 papers, and from additional datasets including, proteins, genes, disease-gene associations, coronavirus proteins, protein expression, biological pathways, and drugs. Tomás Sabat: Tomás is the Chief Operating Officer at Grakn Labs, dedicated to building a distributed Knowledge Graph for intelligent systems. He works directly with Grakn's open source and enterprise users so they can fulfil their potential with Grakn and change the world. He focuses mainly in finance, life sciences and robotics. Daniel Crowe: Daniel is the Global Community and Partnerships manager for Grakn Labs, working to build a world class community of engineers, innovators, breakers of things. He works directly with the Grakn Community to accelerate projects, solve ever more complex problems and bring people together all over the world towards this common mission.

Introduction to Knowledge Graphs with Grakn and Graql

Online event

Join the Grakn Labs Community for an introduction to knowledge graphs, featuring Grakn. Hosted by: Tomás Sabat and Daniel Crowe 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 discuss how Grakn, a database to organise complex networks of data and 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) 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 unified data representation of data for cognitive systems. Tomás Sabat: Tomás is the Chief Operating Officer at Grakn Labs, dedicated to building a distributed Knowledge Graph for intelligent systems. He works directly with Grakn's open source and enterprise users so they can fulfil their potential with Grakn and change the world. He focuses mainly in finance, life sciences and robotics. Daniel Crowe: Daniel is the Global Community and Partnerships manager for Grakn Labs, working to build a world class community of engineers, innovators, breakers of things. He works directly with the Grakn Community to accelerate projects, solve ever more complex problems and bring people together all over the world towards this common mission.

Beyond SQL | comparing SQL to Graql

Online event

Join the Grakn Labs Community for a comparison between the query language SQL, and Grakn's query language, Graql. Hosted by: Tomás Sabat and Daniel Crowe Using SQL to query relational databases is easy. As a declarative language, it’s straightforward to write queries and build powerful applications. However, relational databases struggle when working with complex data. When querying such data in SQL, challenges especially arise in the modelling and querying of the data. For example, due to the large number of necessary JOINs, it forces us to write long and verbose queries. Such queries are difficult to write and prone to mistakes. Graql is the query language used in Grakn. Just as SQL is the standard query language in relational databases, Graql is Grakn’s query language. It’s a declarative language, and allows us to model, query and reason over our data. In this talk, we will look at how Graql compares to SQL. Why and when should you use Graql over SQL? How do we do outer/inner joins in Graql? We'll look at the common concepts, but mostly talk about the differences between the two. Tomás Sabat: Tomás is the Chief Operating Officer at Grakn Labs, dedicated to building a distributed Knowledge Graph for intelligent systems. He works directly with Grakn's open source and enterprise users so they can fulfil their potential with Grakn and change the world. He focuses mainly in finance, life sciences and robotics. Daniel Crowe: Daniel is the Global Community and Partnerships manager for Grakn Labs, working to build a world class community of engineers, innovators, breakers of things. He works directly with the Grakn Community to accelerate projects, solve ever more complex problems and bring people together all over the world towards this common mission.

Comparing Semantic Web Technologies to Grakn

Online event

Join the Grakn Labs Community for a comparison between the semantic web technologies used to build knowledge graphs, and Grakn. Hosted by: Tomás Sabat and Daniel Crowe Semantic Web technologies enable us to represent and query for very complex and heterogeneous datasets. We can add semantics and reason over large bodies of data on the web. However, despite a lot of educational material available, they have failed to achieve mass adoption outside academia. Grakn works at a higher level of abstraction and enables developers to be more productive when working with complex data. Grakn is easier to learn, reducing the barrier to entry and enabling more developers to access semantic technologies. Instead of using a myriad of standards and technologies, we just use one language - Graql. In this talk: - we will look at how Graql compares to Semantic Web standards, specifically RDF, SPARQL RDFS, OWL and SHACL. - cover questions such as, how do we represent hyper-relations in Grakn? How to use rdfs:domain and rdfs:range in Grakn? And how do the modelling philosophies compare? Tomás Sabat: Tomás is the Chief Operating Officer at Grakn Labs, dedicated to building a distributed Knowledge Graph for intelligent systems. He works directly with Grakn's open source and enterprise users so they can fulfil their potential with Grakn and change the world. He focuses mainly in finance, life sciences and robotics. Daniel Crowe: Daniel is the Global Community and Partnerships manager for Grakn Labs, working to build a world class community of engineers, innovators, breakers of things. He works directly with the Grakn Community to accelerate projects, solve ever more complex problems and bring people together all over the world towards this common mission.

Past events (78)

Big Data for a Drug Discovery Knowledge Graph

Online event

Photos (47)