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- ArticleSeptember 2015
High-Performance, Distributed Dictionary Encoding of RDF Datasets
- Alessandro Morari,
- Jesse Weaver,
- Oreste Villa,
- David Haglin,
- Antonino Tumeo,
- Vito Giovanni Castellana,
- John Feo
CLUSTER '15: Proceedings of the 2015 IEEE International Conference on Cluster ComputingPages 250–253https://doi.org/10.1109/CLUSTER.2015.44In this work we propose a novel approach for RDF (Resource Description Framework) dictionary encoding that employs a parallel RDF parser and a distributed dictionary data structure, exploiting RDF-specific optimizations. In contrast with previous ...
- research-articleNovember 2013
Evaluation of a Hybrid Approach for Efficient Provenance Storage
ACM Transactions on Storage (TOS), Volume 9, Issue 4Article No.: 14, Pages 1–29https://doi.org/10.1145/2501986Provenance is the metadata that describes the history of objects. Provenance provides new functionality in a variety of areas, including experimental documentation, debugging, search, and security. As a result, a number of groups have built systems to ...
- research-articleOctober 2013
Lazy data structure maintenance for main-memory analytics over sliding windows
DOLAP '13: Proceedings of the sixteenth international workshop on Data warehousing and OLAPPages 33–38https://doi.org/10.1145/2513190.2513203We address the problem of maintaining data structures used by memory-resident data warehouses that store sliding windows. We propose a framework that eagerly expires data from the sliding window to save space and/or satisfy data retention policies, but ...
- articleJanuary 2013
Scalable RDF data compression with MapReduce
Concurrency and Computation: Practice & Experience (CCOMP), Volume 25, Issue 1Pages 24–39https://doi.org/10.1002/cpe.2840The Semantic Web contains many billions of statements, which are released using the resource description framework (RDF) data model. To better handle these large amounts of data, high performance RDF applications must apply a compression technique. ...
- ArticleMay 2011
High-performance computing applied to semantic databases
To-date, the application of high-performance computing resources to Semantic Web data has largely focused on commodity hardware and distributed memory platforms. In this paper we make the case that more specialized hardware can offer superior scaling ...