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

  • Jeen Broekstra
  • Arjohn Kampman
  • Frank van Harmelen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2342)


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 efficient 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 variety 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 offers support for concurrency control, independent export of RDF and RDFS information and a query engine for RQL, a query language for RDF that offers native support for RDF Schema semantics. We present an overview of Sesame as a generic architecture, as well as its implementation and our first experiences with this implementation.


Resource Description Framework Application Programming Interface Query Language Simple Object Access Protocol Resource Description Framework Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Jeen Broekstra
    • 1
  • Arjohn Kampman
    • 1
  • Frank van Harmelen
    • 2
  1. 1.Aidministrator Nederland b.v.AmersfoortThe Netherlands
  2. 2.Faculty of SciencesVrije UniversiteitAmsterdamThe Netherlands

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