In this paper we are presenting the context architecture implemented on top of the RDFCore system. With this extended Knowledge Representation framework we are trying to overcome some of the limitations of RDF and OWL as they are today, without losing sight of performance and scalability issues. We are illustrating motivations - partly based on requirements in the VIKEF project - as well as theoretical background, implementation details and test-results of our latest works.
Achieving scalability and expressivity in an RDF knowledge base by implementing contexts
Redavid D.
2006-01-01
Abstract
In this paper we are presenting the context architecture implemented on top of the RDFCore system. With this extended Knowledge Representation framework we are trying to overcome some of the limitations of RDF and OWL as they are today, without losing sight of performance and scalability issues. We are illustrating motivations - partly based on requirements in the VIKEF project - as well as theoretical background, implementation details and test-results of our latest works.File in questo prodotto:
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