DemKG is a framework that allows you to build a Knowledge Graph and integrate your experimental research data. DemKG has a special focus on the Dementia research space, implementing specific terminological extensions and design patterns.

The framework builds upon community efforts:

• OBO ontologies, some previously transformed from KG-OBO
• The Monarch KG and annotations.
• Reactome
• String PPI database.

DemKG is comprised of three main modules:

• The extensions ontology. An OWL ontology that models classes and relationships to provide relevant terms needed for Dementia research data.
• The transformation module. A Python package that allows you to easily transform your tabular source data into a sub-graph following robust semantic design patterns.
• The KG-Builder. A module built with Python and ODK that gathers the Knowledge Sources along with your transformed data and constructs the final KG.