Home » Showcase » Our Research Projects » FEMME

FEMME

The Federated Metadata Management Engine is a schema-agnostic metadata management engine. FeMME is designed to provide storage and query capabilities over a wide range of metadata formats from multiple data sources. FeMME lies on top of a NoSQL document database (MongoDB), thus allowing it to have a dynamic model. The use of such a database offers the ability of metadata indexing in order to minimize query times.


The key features of the engine include:

  • Support of multiple metadata formats
  • Dynamic model
  • Querying performance
  • Schema agnostic
Technologies involved: