Аннотация
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.
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