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Data Intensive Query Processing for Large RDF Graphs Using Cloud Computing Tools
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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An Evaluation of Knowledge Base Systems for Large OWL Datasets
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An Evaluation of Triple-Store Technologies for Large Data Stores
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Scalable Distributed Reasoning Using MapReduce
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Parallel Materialization of the Finite RDFS Closure for Hundreds of Millions of Triples
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Storage and Retrieval of Large RDF Graph Using Hadoop and MapReduce
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SW-Store: a vertically partitioned DBMS for Semantic Web data management
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LUBM: A benchmark for OWL knowledge base systems
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SP^2Bench: A SPARQL Performance Benchmark
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Scaling up Classifiers to Cloud Computers
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Scale-up x Scale-out: A Case Study using Nutch/Lucene
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SPARQL basic graph pattern optimization using selectivity estimation
inferredcites →https://doi.org/10.13016/m2j38kn3popenalex-snapshot
Tracking RDF Graph Provenance using RDF Molecules
inferredcites →https://doi.org/10.5555/1298455.1298475openalex-snapshot
Bigtable: a distributed storage system for structured data
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Map-Reduce for Machine Learning on Multicore
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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ProcessAtlas: A scalable and extensible platform for business process analytics
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Distributed RDFS Reasoning with MapReduce
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Tools, Use Cases, and Discussions
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High-Performance Computing Applied to Semantic Databases
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An Intermediate Algebra for Optimizing RDF Graph Pattern Matching on MapReduce
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RDFPath: Path Query Processing on Large RDF Graphs with MapReduce
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Efficient SPARQL Query Processing in MapReduce through Data Partitioning and Indexing
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Towards Efficient Join Processing over Large RDF Graph Using MapReduce
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An Algorithm for Querying Linked Data Using Map-Reduce
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Storage schema and ontology-independent SPARQL to HiveQL translation
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QoS-guaranteed resource provisioning for cloud-based MapReduce in dynamical environments
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Impact Analysis of Data Placement Strategies on Query Efforts in Distributed RDF Stores
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Scalable Complex Query Processing over Large Semantic Web Data Using Cloud
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Distributed Semantic Web Data Management in HBase and MySQL Cluster
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A Cost-Efficient Resource Provisioning and Scheduling Approach for Deadline-Sensitive MapReduce Computations in Cloud Environment
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A Token-Based Access Control System for RDF Data in the Clouds
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Partitioning Large-Scale Property Graph for Efficient Distributed Query Processing
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High Performance Query Processing for Web Scale RDF Data using BSP Style Communication and Balanced Distribution
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