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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

2.3. SPARQL query processing

RDF has become a de facto standard for publishing information and knowledge on the Web. Compared to other standards such as XML or JSON, RDF facilitates in particular the integration of information by linking RDF resources of separate data sets through owl:sameAs, rdf:type, and rdfs:subClassOf properties. The resulting Semantic Web of linked open data (LOD) sets is composed of billions of triples, and building systems for efficiently storing and querying the Semantic Web is a technological and scientific challenge reminiscent of other Big Data applications.

2.3.1. SPARQL with and without RDF/S entailment

The first challenge concerns the interaction between SPARQL’s graph pattern matching semantics and RDF’s data model semantics defined by the RDF/S entailment rules. There mainly exist two solutions to evaluating a query Q over a data set D and a set of entailment rules R. The first solution is to first saturate D by recursively applying all...

You have been reading a chapter from
NoSQL Data Models
Published in: Aug 2018
Publisher: Wiley
ISBN-13: 9781786303646
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