This paper describes the design and implementation of Minimal RDFS semantics based on a backward chaining approach and implemented on a clustered RDF triple store. The system presented, called 4sr, uses 4store as base infrastructure. In order to achieve a highly scalable system we implemented the reasoning at the lowest level of the quad store, the bind operation. The bind operation runs concurrently in all the data slices allowing the reasoning to be processed in parallel among the cluster. Throughout this paper we provide detailed descriptions of the architecture, reasoning algorithms, and a scalability evaluation with the LUBM benchmark. 4sr is a stable tool available under a GNU GPL3 license and can be freely used and extended by the co...
RDF stores are showing consistent performance improvements, with benchmarks showing that several are...
This work presents MIDAS-RDF, a distributed P2P RDF/S repository that is built on top of a distribut...
Materialisation is often used in RDF systems as a preprocessing step to derive all facts implied by ...
This poster paper presents the design and implementation of an RDFS reasoner based on a backward cha...
This paper describes the design and implementation of backward chained clustered RDFS reasoning in 4...
We present RDFox—a main-memory, scalable, centralised RDF store that supports materialisation-based ...
Preprint submited to a conferenceThe vision of the Semantic Web is becoming a reality with billions ...
As more and more data is provided in RDF format, storing huge amounts of RDF data and efficiently pr...
As more and more data is provided in RDF format, storing huge amounts of RDF data and efficiently pr...
International audienceThe Semantic Web enables to describe knowledge from data and leverage implicit...
WOS: 000374121500037Reasoning is a vital ability for semantic web applications since they aim to und...
This paper describes an evolution of the 3store RDF storage system, extended to provide a SPARQL que...
This paper describes the design of Clustered TDB, a clustered triple store designed to store and que...
Built specifically for the Semantic Web, triple stores are required to accommodate a large number of...
Many RDF systems support reasoning with Datalog rules via materialisation, where all conclusions of ...
RDF stores are showing consistent performance improvements, with benchmarks showing that several are...
This work presents MIDAS-RDF, a distributed P2P RDF/S repository that is built on top of a distribut...
Materialisation is often used in RDF systems as a preprocessing step to derive all facts implied by ...
This poster paper presents the design and implementation of an RDFS reasoner based on a backward cha...
This paper describes the design and implementation of backward chained clustered RDFS reasoning in 4...
We present RDFox—a main-memory, scalable, centralised RDF store that supports materialisation-based ...
Preprint submited to a conferenceThe vision of the Semantic Web is becoming a reality with billions ...
As more and more data is provided in RDF format, storing huge amounts of RDF data and efficiently pr...
As more and more data is provided in RDF format, storing huge amounts of RDF data and efficiently pr...
International audienceThe Semantic Web enables to describe knowledge from data and leverage implicit...
WOS: 000374121500037Reasoning is a vital ability for semantic web applications since they aim to und...
This paper describes an evolution of the 3store RDF storage system, extended to provide a SPARQL que...
This paper describes the design of Clustered TDB, a clustered triple store designed to store and que...
Built specifically for the Semantic Web, triple stores are required to accommodate a large number of...
Many RDF systems support reasoning with Datalog rules via materialisation, where all conclusions of ...
RDF stores are showing consistent performance improvements, with benchmarks showing that several are...
This work presents MIDAS-RDF, a distributed P2P RDF/S repository that is built on top of a distribut...
Materialisation is often used in RDF systems as a preprocessing step to derive all facts implied by ...