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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

6.3. Fuzzy preference queries over graph databases

In the following, we present two scientific contributions that introduce fuzzy preferences in pattern queries over graph databases. In section 6.3.1. We present a pioneer work that extends the Cypher language in order to express fuzzy preference queries over attributes (a.k.a. properties), nodes and relationships in order to query a crisp graph database. Then, in section 6.3.2. We present a more general framework that makes it possible to express fuzzy preference pattern queries in order to query a fuzzy graph database.

6.3.1. Fuzzy preference queries over crisp graph databases

In this section, we address fuzzy selection (READ) queries over regular NoSQL Neo4j graph databases. We introduce a new query language built on top of Cypher to address flexible queries, which we call CYPHERF. We claim that fuzziness can be handled at the following three levels: over attributes, over nodes and over relationships.

The CYPHERF extension affects...

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