Zeus: a distributed triple store for proactive SPARQL queries
by Marcello Leida; Andrej Chu
International Journal of Business Process Integration and Management (IJBPIM), Vol. 7, No. 1, 2014

Abstract: The RDF framework is the underpinning element of semantic web stack; its widespread adoption requires efficient tools to store and query RDF data. A number of efficient local RDF stores already exist, while distributed indexing and distributed query processing are only starting to appear; furthermore dynamically growing and fail-safe solutions are not yet available. To remedy this situation, in this paper we present Zeus: an approach for efficient and scalable query processing over RDF graphs based on grid computing. Zeus is based on a distributed architecture, where neither single point of failure nor specialised nodes exist. The query processing framework, presented in the paper, includes a sophisticated query planning and query execution algorithm, which is designed expressively for storage and query of a stream of RDF triples. This mechanism allows Zeus users to register queries that will be notified in real time of new relevant results.

Online publication date: Thu, 31-Jul-2014

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