A Context-based Architecture for RDF Knowledge Bases: Approach, Implementation and Preliminary Results (old title: Achieving Scalability and Expressivity in an RDF Knowledge Base by Implementing Contexts)

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rdf:typeswc:Poster
swrc:authorperson:domenico-redavid
swrc:authorperson:heiko-stoermer
swrc:authorperson:ignazio-palmisano
swrc:authorperson:paolo-bouquet
swc:uuid5e5abe97-f972-4bda-9ee3-4dd3206b1658
dc:titleA Context-based Architecture for RDF Knowledge Bases: Approach, Implementation and Preliminary Results (old title: Achieving Scalability and Expressivity in an RDF Knowledge Base by Implementing Contexts)
rdfs:labelA Context-based Architecture for RDF Knowledge Bases: Approach, Implementation and Preliminary Results (old title: Achieving Scalability and Expressivity in an RDF Knowledge Base by Implementing Contexts)
swrc:abstractIn this paper we present a context-based architecture for supporting the construction and management of contextualized RDF knowledge bases, and an implementation of the idea on top of the RDFCore system. The goal of this work is to take explicitly into account any possible contextual dependency of a collection of RDF models, without losing sight of performance and scalability issues. We are illustrating motivations - partly based on requirements collected in the VIKEF integrated project - as well as theoretical background, implementation details and test-results of our latest works.
swrc:keywordsOWL
swrc:keywordsRDF
swrc:keywordscontext
swrc:keywordsknowledge base
swrc:keywordsknowledge representation
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person:domenico-redavidfoaf:made
person:heiko-stoermerfoaf:made
person:ignazio-palmisanofoaf:made
person:paolo-bouquetfoaf:made

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