Sesame: An Architecture for Storin gand Querying RDF Data and Schema Information
نویسندگان
چکیده
RDF and RDF Schema provide the first W3C standard to enrich the Web with machine-processable semantic data. However, to be able to use this semantic data, a scalable, persistent RDF store and a powerful query engine using an expressive query language are needed. Sesame is an extensible architecture implementing both of these. Sesame can be based on arbitrary repositories, ranging from traditional Data Base Management Systems, to dedicated RDF triple stores. Sesame also implements a query engine for RQL, the most powerful RDF/RDF Schema query language to date.
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Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
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