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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

5.3. Background and preliminaries

In this section, we provide basic definitions on the interplay between RDF and its multigraph representation. Later, we explain how the task of answering SPARQL queries can be reduced to a multigraph homomorphism problem.

5.3.1. RDF data

According to the W3C standards3, RDF data are represented as a set of triples <S,P,O>, as shown in Figure 5.1(a), where each triple <s,p,o> consists of the following three components: a subject, a predicate and an object. Further, each component of the RDF triple can be either of the two forms: an IRI (Internationalized Resource Identifier) or a literal. For brevity, an IRI is usually written with a prefix (e.g. <http://dbpedia.org/resource/isPartOf> is written as “x:isPartOf”), whereas a literal is always written with double quotes (e.g. “90000”). While a subject s and a predicate p are always an IRI, an object o can be either an IRI or a literal.

RDF data can also be represented...

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