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

, , and . The Semantic Web - ISWC 2002. First International Semantic Web Conference, Sardinia, Italy, June 9-12, 2002, Proceedings, 2342, page 54-68. (2002)

Abstract

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 speci c 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 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 architecture, as well as its implementation and our rst experiences with this implementation.

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