Matches in ScholarlyData for { ?s ?p ?o. }
- 3 creator anupam-joshi.
- 3 creator fuesane-cheng.
- 3 creator tim-finin.
- 3 creator yelena-yesha.
- 3 type InProceedings.
- 3 label "Quadruple Table Pivot Query for Efficient RDF Data Management and Retrieval".
- 3 sameAs 3.
- 3 abstract "RDF data storage solutions with current RDBMS products utilize row-based triple table or column-oriented storage/retrieval paradigms, which have advantages and disadvantages. This paper recommends an alternative way for storing RDF data using quadruple table and pivot query which has not only the advantages of better query performance than triple self-joins and on par with column-based queries, but also has performance advantages on insert, update, and delete operations equivalent to row-based queries. The paper contains per-formance benchmark tests to support the improved performance of quadruple table and pivot query approach. Detailed methods for translating RDF queries into SQL scripts using quadruple table pivot queries and relationship view with meta data captured from the RDF schema or data are also presented. Addition-ally, different measures of overall effectiveness on SQL script generation, mate-rialized views and indirect property maintenance, and indexes creation using the recommended approach are discussed.".
- 3 hasAuthorList authorList.
- 3 isPartOf proceedings.
- 3 keyword "RDF Data".
- 3 keyword "Scalability".
- 3 title "Quadruple Table Pivot Query for Efficient RDF Data Management and Retrieval".
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- item-1 hasContent fuesane-cheng.
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- item-2 hasContent yelena-yesha.
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- item-3 hasContent anupam-joshi.
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- item-4 hasContent tim-finin.
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- 4 creator andreas-schultz.
- 4 creator christian-bizer.
- 4 type InProceedings.
- 4 label "Benchmarking the Performance of Storage Systems that expose SPARQL Endpoints".
- 4 sameAs 4.
- 4 abstract "The SPARQL Query Language for RDF and the SPARQL Protocol for RDF are implemented by a growing number of storage systems and are used within enterprise and open web settings. As SPARQL is taken up by the community there is a growing need for benchmarks to compare the performance of storage systems that expose SPARQL endpoints via the SPARQL protocol. Such systems include native RDF stores, systems that map relational databases into RDF, and SPARQL wrappers around other kinds of data sources. This paper introduces the Berlin SPARQL Benchmark (BSBM) for comparing the performance of these systems across architectures. The benchmark is built around an e-commerce use case in which a set of products is offered by different vendors and consumers have posted reviews about products. The benchmark query mix illustrates the search and navigation pattern of a consumer looking for a product. After giving an overview about the design of the benchmark, the paper presents the results of an experiment comparing the performance of D2R Server, a relational database to RDF wrapper, with the performance of Sesame, Virtuoso, and Jena SDB, three popular RDF stores.".
- 4 hasAuthorList authorList.
- 4 isPartOf proceedings.
- 4 keyword "RDF".
- 4 keyword "SPARQL".
- 4 keyword "benchmark".
- 4 keyword "relational database to RDF mapping".
- 4 keyword "scalability".
- 4 keyword "semantic web".
- 4 title "Benchmarking the Performance of Storage Systems that expose SPARQL Endpoints".
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- item-1 hasContent christian-bizer.
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- item-2 hasContent andreas-schultz.
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- 5 creator emanuele-della-valle.
- 5 creator francesco-corcoglioniti.
- 5 creator irene-celino.
- 5 creator walter-corno.
- 5 type InProceedings.
- 5 label "Optimizing SPARQL querying over pre-existing non-RDF data sources via an object-oriented approach".
- 5 sameAs 5.
- 5 abstract "We present our approach to facilitate SPARQL queries over pre-existing non-RDF data sources and SPOON (SParql to Object Oriented eNgine), the prototypical implementation of our proposal. We suggest the use of an object-oriented abstraction, which can be automatically mapped and translated into an ontological one, to wrap data sources; this approach, on the one hand, is very straightforward for data managers without a deep understanding of Semantic Web technologies and standards and, on the other hand, takes advantage of consolidated technologies and tools (like object-relational mapping, ORM) to deal with different types of data sources. In this paper, we introduce the theoretical foundations of our solution, and we show the results of our preliminary evaluation experience, conducted by comparing SPOON with alternative methods, which proves the benefits of our approach.".
- 5 hasAuthorList authorList.
- 5 isPartOf proceedings.
- 5 keyword "SPARQL".
- 5 title "Optimizing SPARQL querying over pre-existing non-RDF data sources via an object-oriented approach".
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- item-1 hasContent walter-corno.
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- item-2 hasContent francesco-corcoglioniti.
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- item-3 hasContent irene-celino.
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- item-4 hasContent emanuele-della-valle.
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- 6 creator axel-polleres.
- 6 creator giovanni-tummarello.
- 6 creator renaud-delbru.
- 6 creator stefan-decker.
- 6 type InProceedings.
- 6 label "Context Dependent Reasoning for Semantic Documents in Sindice".
- 6 sameAs 6.