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Triple Store/Graph Database Overview There have been discussions in the past between Mayo and NCI about using a triple store/graph database. The Semantics.

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Presentation on theme: "Triple Store/Graph Database Overview There have been discussions in the past between Mayo and NCI about using a triple store/graph database. The Semantics."— Presentation transcript:

1 Triple Store/Graph Database Overview There have been discussions in the past between Mayo and NCI about using a triple store/graph database. The Semantics Infrastructure (SI) group of CBIIT has also done considerable research and analysis on this topic. We need to understand what NCI’s requirements are surrounding this topic.

2 Triple Store/Graph Database Discussion topics to understand NCI’s requirements: Is there an existing requirement to move to a triple store or graph db? Does the SI group have recommendations? If not, when will they have them? Will the EVS team be following the recommendations of the SI group?

3 Triple Store/Graph Data Base SI Talking Points Are federated queries required? Should these be over SPARQL endpoints? There are potential security issues with this. Does SPARQL need to support reasoning/inference? What priority is performance? Why is performance only focused on for triple stores? How does this tie in to any LexEVS/CTS2 API requirements, if any?

4 Triple Store/Graph Data Base What does a terminology datastore need to do? KVS - Key-Value store DS - Document Store RDBMS - Relation Database GDB - Graph Database Datastore FeatureDatastore Type that Performs Well Store a resource with an IDKVS, DS, RDBMS, GDB Find a resource by IDKVS, DS, RDBMS, GDB Find a resource by a set of propertiesDS, RDBMS, GDB Find all edges of a resourceGDB, RDBMS Traverse a graphGDB Compute subgraphsGDB Perform set operations on subgraphsGDB Calculate pathsGDB

5 Triple Store/Graph Data Base Demo of ArangoDB Next steps/roadmap

6 Triple Store/Graph Data Base Discussion Recap Requirements Decision Points Priority


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