2002 SesameAGenericArchitectureforSt

• (Broekstra et al., 2002) ⇒ Jeen Broekstra, Arjohn Kampman, and Frank van Harmelen. (2002). “Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema.” In: Proceedings of the First International Semantic Web Conference on The Semantic Web.

Subject Headings: Sesame RDF Framework.

Cited By

• ~1002 http://scholar.google.com/scholar?q=%22Sesame%3A+A+Generic+Architecture+for+Storing+and+Querying+RDF+and+RDF+Schema%22+2002
• http://dl.acm.org/citation.cfm?id=711426&preflayout=flat#citedby

Quotes

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 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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2002 SesameAGenericArchitectureforSt	Frank van Harmelen Jeen Broekstra Arjohn Kampman			Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema