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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

6.5. Related work

As several models have been proposed to represent data having an implicit or explicit graph structure (see [ANG 08] for an overview of these models), the literature includes a variety of query languages for graphs. The authors of [ANG 08], [WOO 12] and [BAR 13] proposed complementary surveys of graph query languages defined in the past 25 years, including languages for querying graph-based object databases, semistructured data, social networks and Semantic Web data. The authors of [BAR 13] focused on theoretical query languages for graph databases and emphasized that graph database management systems still lack query languages with a clear syntax and semantics. This is the problem that we addressed here.

Functionalities that should be offered by a language for querying the topology of a crisp graph database are exhibited in [ANG 05, ANG 12, CIG 12, ANG 13, WOO 12]. We summarize these (non-exclusive) functionalities hereafter, focusing on selection statements of the DML...

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