Towards a Better Insight of RDF Triples Ontology-Guided Storage System Abilities

Provided by: Cornell University
Topic: Storage
Format: PDF
The vision of the semantic web is becoming a reality with billions of RDF triples being distributed over multiple queryable end-points (e.g. linked data). Although there has been a body of work on RDF triples persistent storage, it seems that, considering reasoning de-pendent queries, the problem of providing an efficient, in terms of performance, scalability and data redundancy, partitioning of the data is still open. In regards to recent data partitioning studies, it seems reason-able to think that data partitioning should be guided considering several directions (e.g. ontology, data, and application queries).

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