Distributed Semantic Web data management in HBase and MySQL cluster

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Publicado en:ProQuest Dissertations and Theses (2011)
Autor principal: Franke, Craig M.
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ProQuest Dissertations & Theses
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020 |a 978-1-124-70576-7 
035 |a 875789963 
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100 1 |a Franke, Craig M. 
245 1 |a Distributed Semantic Web data management in HBase and MySQL cluster 
260 |b ProQuest Dissertations & Theses  |c 2011 
513 |a Dissertation/Thesis 
520 3 |a Various computing and data resources on the Web are being enhanced with machine-interpretable semantic descriptions to facilitate better search, discovery and integration. This interconnected metadata constitutes the Semantic Web. Efficient management of Semantic Web data, expressed using the W3C's Resource Description Framework (RDF), is crucial for supporting new data-intensive, semantics-enabled applications. In this work, we study and compare two approaches to distributed RDF data management based on emerging cloud computing technologies and traditional relational database clustering technologies. In particular, we design distributed RDF data storage and querying schemes for HBase and MySQL Cluster and conduct an empirical comparison of these approaches on a cluster of commodity machines using datasets and queries from the Third Provenance Challenge and Lehigh University Benchmark. Our study reveals interesting patterns in query evaluation, shows that our algorithms are promising, and suggests that cloud computing has a great potential for scalable Semantic Web data management. 
653 |a Computer science 
653 |a Web studies 
773 0 |t ProQuest Dissertations and Theses  |g (2011) 
786 0 |d ProQuest  |t ProQuest Dissertations & Theses Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/875789963/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/875789963/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch