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LexEVS has long relied on a relational database to provide the data store for semantic assertions made about the entity level constructs in terminologies and ontologies.  Recently it has become clear that graph database technology has matured enough to allow the the relationships between entities defined by these assertions to be stored in a way that better reflects the nodes and edges of these relationships.  Benchmarking tests and practicality reviews have led the LexEVS team to the conclusion that a graph database back end for LexEVS associations will vastly improve traversal performance time and potentially simplify implementation of the association API. 

Database Hierarchy Performance Evaluation

 New technologies such as the MVRB-tree algorithm implmented in the OrientDB graph database have proved far more efficient and scalable than the traditional relational data base management system.

LexEVS Association Logical Model

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