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Titlebook: Linked Data; Storing, Querying, a Sherif Sakr,Marcin Wylot,Irini Fundulaki Book 2018 Springer International Publishing AG 2018 Database Des

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Distributed RDF Query Processing,is dwarfed by the volume of the dataset. Therefore, there was a crucial need for distributed systems with a high degree of parallelism that can satisfy the performance demands of complex SPARQL queries. In this chapter, we give an overview of various techniques and systems for efficiently querying l
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Processing of RDF Stream Data,ss among heterogenous data sources, RDF Stream Data has the same goal with respect to data streams. It bridges the gap between stream and more static data sources. To support the processing on RDF stream data, there is a need on investigating how to extend RDF to model and represent stream data. The
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Distributed Reasoning of RDF Data,ins. Reasoning over such large knowledge graphs poses several performance challenges. In practice, although there has been some prior work on scalable approaches to RDF reasoning, the interest in this field started gathering momentum with the rising popularity of modern big data processing systems (
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Benchmarking RDF Query Engines and Instance Matching Systems,ems to address the new challenges. In this chapter, we discuss benchmarks for RDF query engines and instance matching systems. In practice, benchmarks are used to inform users of the strengths and weaknesses of competing tools and approaches, but more importantly, they encourage the advancement of t
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978-3-030-08803-3Springer International Publishing AG 2018
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Sherif Sakr,Marcin Wylot,Irini FundulakiProvides a comprehensive overview of the state-of-the-art in storing, querying, reasoning and data provenance aspects of Linked Data.Describes in detail the processing of and reasoning about dynamic,
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