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EBSCO_on1049711209 |
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20231017213018.0 |
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m o d |
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cr cnu---unuuu |
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180824s2018 ne ob 000 0 eng d |
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|a IOSPR
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|a 1049802610
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|a 1049935129
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|a 9781614998402
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|a (OCoLC)1049711209
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|a UAMI
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|a Saleem, Muhammad,
|e author.
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1 |
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|a Efficient source selection and benchmarking for SPARQL Endpoint Query Federation /
|c Muhammad Saleem.
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264 |
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|a Amsterdam, Netherlands :
|b IOS Press,
|c 2018.
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300 |
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|a 1 online resource
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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1 |
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|a Studies on the Semantic Web ;
|v vol. 026
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|a Online resource; title from PDF title page (EBSCO, viewed September 27, 2018).
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|a Includes bibliographical references.
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|a Intro; Title Page; Acknowledgments; Contents; Abstract; Introduction; Federated SPARQL Query Processing; The Need for Efficient Source Selection; The Need for More Comprehensive SPARQL Benchmarks; Contributions; Chapter Overview; Basic Concepts and Notation; Semantic Web; URIs, RDF; SPARQL Query Language; Triplestore; SPARQL Syntax, Semantic and Notation; State of the Art; Federation systems evaluations; Benchmarks; Federated engines public survey; Survey Design; Discussion of the survey results; Details of selected systems; Overview of the selected approaches; Performance Variables.
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|a EvaluationExperimental setup; Evaluation criteria; Experimental results; Discussion; Effect of the source selection time; Effect of the data partitioning; Hypergraph-Based Source Selection; Problem Statement; HiBISCuS; Queries as Directed Labelled Hypergraphs; Data Summaries; Source Selection Algorithm; Pruning approach; Evaluation; Experimental Setup; Experimental Results; Trie-based Source Selection; TBSS; TBSS Data Summaries; TBSS Source Selection Algorithm; TBSS Pruning approach; QUETSAL; Quetsal's Architecture; Quetsal's SPARQL 1.1 Query Re-writing; Evaluation; Experimental Setup.
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|a Experimental ResultsDuplicate-Aware Source Selection; DAW; Min-Wise Independent Permutations (MIPs); DAW Index; DAW Federated Query Processing; Experimental Evaluation; Experimental Setup; Experimental Results; Policy-Aware Source Selection; Motivating Scenario; Methodology and Architecture; Evaluation; Experimental Setup; Experimental Results; Data Distribution-Based Source Selection; Motivation; Biological query example; Methods; Transforming TCGA data to RDF; Linking TCGA to the LOD cloud; TCGA data workflow and schema; Data distribution and load balancing.
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|a TopFed federated query processing approachSource selection; Results and discussion; Evaluation; Availability of supporting data; LargeRDFBench: SPARQL Federation Benchmark; Background; The Need of More Comprehensive SPARQL Federation Benchmark; Benchmark Description; Benchmark Datasets; Benchmark Queries; Performance Metrics; Evaluation; Experimental Setup; SPARQL 1.0 Experimental Results; SPARQL 1.1 Experimental Results; FEASIBLE: SPARQL Benchmarks Generation Framework; Key SPARQL Features; A Comparison of Existing Triple Stores Benchmarks and Query Logs; FEASIBLE Benchmark Generation.
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|a Data Set CleaningNormalization of Features Vectors; Query Selection; Complexity Analysis; Evaluation and Results; Composite Error Estimation; Experimental Setup; Experimental Results; Conclusion; HiBISCuS; TBSS/Quetsal; DAW; SAFE; TopFed; LargeRDFBench; FEASIBLE; Bibliography.
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|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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|a SPARQL (Computer program language)
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|a Querying (Computer science)
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|a Semantic computing.
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|a Bases de données
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|a IOS Press.
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|a Studies on the Semantic Web ;
|v vol. 026.
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