Name : Andrew Newman Student Number : 41227462 Supervisor : Jane Hunter Project Title : Querying
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چکیده
منابع مشابه
Scalable Semantics - The Silver Lining of Cloud Computing
Semantic inferencing and querying across largescale 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 appro...
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The computational analysis of protein-protein interaction and biomolecular pathway data paves the way to efficient in silico drug discovery and therapeutic target identification. However, relevant data sources are currently distributed across a wide range of disparate, large-scale, publicly-available databases and repositories and are described using a wide range of taxonomies and ontologies. S...
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Protein-protein interaction (PPI) and biomolecular pathway data hold tremendous potential for drug discovery and development. However, relevant data sources are currently distributed across a wide range of disparate, large-scale, publicly-available databases, web sites and repositories and are described using a wide range of taxonomies and ontologies. Sophisticated integration, manipulation, pr...
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متن کاملA Scale-Out RDF Molecule Store for Improved Co-Identification, Querying and Inferencing
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 appr...
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