Practical experience with graph algorithms suggest that "just-in-time" mining of distributed knowledge sources is sometimes non-performant and that central warehousing of knowledge concepts and relationships is desirable. Also, several Translator architecture and reasoner teams currently use graph databases (Neo4j, RDF triple stores (e.g. Wikidata), custom graph stores (e.g. Minikanren file store) for accessing, persisting and annotating knowledge subgraphs (concept nodes and edges) retrieved by queries. The Translator team have therefore recently converged on a proposal to develop a Translator-wide shared standards-driven knowledge graph.
This project serves as a hub for the collaboration, design and prototyping of such a Translator Knowledge Graph (TKG) resource. In addition to this README, we are using the project repository wiki to document design discussions and cross link with resources.
We will provide links to various Translator efforts supporting the goal of creating a shared Translator knowledge graph platform, but will also attempt here to provide one or more reference implementations to drive the learning process of creating such a resource.
The design of the TKG can be seen at three levels: