UMLtoGraphDB: Mapping Conceptual Schemas to Graph Databases [chapter]

Gwendal Daniel, Gerson Sunyé, Jordi Cabot
2016 Lecture Notes in Computer Science  
The need to store and manipulate large volume of (unstructured) data has led to the development of several NoSQL databases for better scalability. Graph databases are a particular kind of NoSQL databases that have proven their efficiency to store and query highly interconnected data, and have become a promising solution for multiple applications. While the mapping of conceptual schemas to relational databases is a well-studied field of research, there are only few solutions that target
more » ... l modeling for NoSQL databases and even less focusing on graph databases. This is specially true when dealing with the mapping of business rules and constraints in the conceptual schema. In this article we describe a mapping from UML/OCL conceptual schemas to Blueprints, an abstraction layer on top of a variety of graph databases, and Gremlin, a graph traversal language, via an intermediate Graph metamodel. Tool support is fully available.
doi:10.1007/978-3-319-46397-1_33 fatcat:6sobmg3n5vcmfj5nmxgob4tkgu