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- W2093522839 abstract "The proliferation of data in RDF format has resulted in the emergence of a plethora of specialized management systems. While the ability to adapt to the complexity of a SPARQL query -- given their inherent diversity -- is crucial, current approaches do not scale well when faced with substantially complex, non-selective joins, resulting in exponential growth of execution times. In this demonstration we present H2 RDF+, an RDF store that efficiently performs distributed Merge and Sort-Merge joins using a multiple-index scheme over HBase indexes. Through a greedy planner that incorporates our cost-model, it adaptively commands for either single or multi-machine query execution based on join complexity. In this paper, we present its key scientific contributions and allow participants to interact with an H2RDF+ deployment over a Cloud infrastructure. Using a web-based GUI we allow users to load different datasets (both real and synthetic), apply any query (custom or predefined) and monitor its execution. By allowing real-time inspection of cluster status, response times and committed resources the audience will evaluate the validity of H2RDF+'s claims and perform direct comparisons to two other state-of-the-art RDF stores." @default.
- W2093522839 created "2016-06-24" @default.
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- W2093522839 date "2014-06-18" @default.
- W2093522839 modified "2023-10-03" @default.
- W2093522839 title "H <sub>2</sub> RDF+" @default.
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- W2093522839 doi "https://doi.org/10.1145/2588555.2594535" @default.
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