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RDF and RDF Schema are two W3C standards aimed at enriching the Web with machine-processable semantic data. We have developed Sesame, an architecture for e!cient storage and expressive querying of large quantities of metadata in RDF and RDF Schema. Sesame's design and implementation are independent from any specific storage device. Thus, Sesame can be deployed on top of a va- riety of storage devices, such as relational databases, triple stores, or object-oriented databases, without having to change the query engine or other functional modules. Sesame o"ers support for concurrency control, independent export of RDF and RDFS information and a query engine for RQL, a query language for RDF that o"ers native support for RDF Schema semantics. We present an overview of Sesame as a generic archi- tecture, as well as its implementation and our first experiences with this implementation.

Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema