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NoSQL Data Models

You're reading from   NoSQL Data Models Addresses severe issues related to NoSQL data models

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Product type Paperback
Published in Aug 2018
Publisher Wiley
ISBN-13 9781786303646
Length 278 pages
Edition 1st Edition
Languages
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Author (1):
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Olivier Pivert Olivier Pivert
Author Profile Icon Olivier Pivert
Olivier Pivert
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Toc

Table of Contents (11) Chapters Close

Preface
1 NoSQL Languages and Systems 2 Distributed SPARQL Query Processing: a Case Study with Apache Spark FREE CHAPTER 3 Doing Web Data: from Dataset Recommendation to Data Linking 4 Big Data Integration in Cloud Environments: Requirements, Solutions and Challenges 5 Querying RDF Data: a Multigraph-based Approach 6 Fuzzy Preference Queries to NoSQL Graph Databases 7 Relevant Filtering in a Distributed Content-based Publish/Subscribe System List of Authors
Index
End User License Agreement

5.7. Experimental analysis

In this section, we report on our extensive experiments on two RDF data sets. We evaluate the time performance and the robustness of AMBER w.r.t., the state-of-the-art competitors by varying the size and structure of the SPARQL queries. Experiments are carried out on a 64-bit Intel Core i7-4900MQ @ 2.80GHz, with 32GB memory, running Linux OS - Ubuntu 14.04 LTS. AMBER is implemented in C++.

5.7.1. Experimental setup

We compare AMBER with the four standard RDF engines: Virtuoso-7.1 [ERL 12], x-RDF-3X [NEU 10], Apache Jena [CAR 04] and gStore [ZOU 14b]. For all these competitors, we use the source code available on the website or obtained by the authors. Another recent work, Turbo_HOM++ [KIM 15], has been excluded, since it is not publicly available.

For experimental analysis, we use two RDF data sets: DBPEDIA and YAGO. DBPEDIA constitutes the most important knowledge base for the Semantic Web community. Most of the data available in this data set come from the...

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