Sesame: A generic architecture for storing and querying RDF and RDF Schema

Jeen Broekstra*, Arjohn Kampman, Frank Van Harmelen

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


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.

Original languageEnglish
Title of host publicationThe Semantic Web, ISWC 2002 - First International Semantic Web Conference, Proceedings
Number of pages15
Volume2342 LNCS
Publication statusPublished - 2002
Event1st International Semantic Web Conference, ISWC 2002 - Sardinia, Italy
Duration: 9 Jun 200212 Jun 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2342 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349


Conference1st International Semantic Web Conference, ISWC 2002


Dive into the research topics of 'Sesame: A generic architecture for storing and querying RDF and RDF Schema'. Together they form a unique fingerprint.

Cite this