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- 7 creator andrew-newman.
- 7 creator jane-hunter.
- 7 creator yuan-fang-li.
- 7 type InProceedings.
- 7 label "A Scale-Out RDF Molecule Store for Improved Co-Identification, Querying and Inferencing".
- 7 sameAs 7.
- 7 abstract "Semantic inferencing and querying across large scale RDF triple stores is notoriously slow. Our objective is to expedite this process by employing Google's MapReduce framework to implement scale-out distributed querying and reasoning. This approach requires RDF graphs to be decomposed into smaller units that are distributed across computational nodes. RDF Molecules appear to offer an ideal approach - providing an intermediate level of granularity between RDF graphs and triples. However, the original RDF molecule definition has inherent limitations that will adversely affect performance. In this paper, we propose a number of extensions to RDF molecules (hierarchy and ordering) to overcome these limitations. We then present implementation details for our MapReduce-based RDF molecule store describing: (a) graph decomposition into molecules; (b) SPARQL querying across molecules; and (c) molecule merging to retrieve the search results. Finally we evaluate the benefits of our approach in the context of the BioMANTA project � an application that requires integration and querying across large-scale protein-protein interaction datasets. The results of performance evaluations based on this case study are presented and discussed.".
- 7 hasAuthorList authorList.
- 7 isPartOf proceedings.
- 7 keyword "MapReduce".
- 7 keyword "RDF molecules".
- 7 keyword "distributed querying".
- 7 keyword "scalability".
- 7 title "A Scale-Out RDF Molecule Store for Improved Co-Identification, Querying and Inferencing".