Studio
The modelling environment from the talk, now git-backed, able to import external ontologies and to model RDF and property graphs from a single description.
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The graph engineering lifecycle
Design, configure, engineer, iterate and automate graph model production: the whole lifecycle, without writing bespoke ingest code for each project.
Talk · Knowledge Graph Conference 2023
Richard Loveday, Head of Product, at the Knowledge Graph Conference in New York. Building a knowledge graph end to end on stage, from source data to a loaded database, in the time a conference slot allows.
The recording
The argument in the talk is the one the platform is still built on: the expensive part of a knowledge graph is not the database, it is everything between the source data and the model, and that part can be automated.
Since then
The talk is from 2023. If it made the case, these are the current versions of the three things it demonstrated.
The modelling environment from the talk, now git-backed, able to import external ontologies and to model RDF and property graphs from a single description.
go to studio
The ETL. More sources than the talk had, including Kafka, REST and documents, and mappings that are open RML and R2RML rather than a private format.
go to transformers
A recording of somebody else's domain only goes so far. Forty-five minutes on yours, with nothing installed, settles more than an hour of video.
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