SPARQL Query Answering on a Shared-nothing Architecture

Provided by: VLD Digital
Topic: Big Data
Format: PDF
The amount of semantic Web data is outgrowing the capacity of semantic Web stores. Similar to traditional databases, scaling up RDF stores is faced with a design dilemma: increase the number of nodes at the cost of increased complexity or use sophisticated, and expensive, hardware that can support large amounts of memory, high disk bandwidth and low seek latency. In this paper, the authors propose a technique to do distributed and join-less RDF query answering based on query pattern-driven indexing. To this end, they first propose an extension of SPARQL to specify query patterns.

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