Building a Semantic Graph Database for Bioinformatics

In this work, we illustrate how to build BioGrakn, a semantic graph database for bioinformatics based on GRAKN.AI, which is a deductive database in the form of a knowledge graph, allowing complex data modelling, verification, scaling, querying and analysis. The database behind GRAKN.AI uses an ontology to facilitate the modelling of extremely complex datasets, functioning as a data schema constraint to guarantee information consistency. GRAKN.AI stores data in a way that allows machines to understand the meaning of information in the complete context of their relationships. Consequently, the semantic layer of Grakn allows computers to process complex information more intelligently, with less human intervention.