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No-FSQL: A Graph-based Fuzzy NoSQL Querying Model

No-FSQL: A Graph-based Fuzzy NoSQL Querying Model

Ines BenAli-Sougui, Minyar Sassi Hidri, Amel Grissa-Touzi
Copyright: © 2016 |Volume: 5 |Issue: 2 |Pages: 10
ISSN: 2156-177X|EISSN: 2156-1761|EISBN13: 9781466693210|DOI: 10.4018/IJFSA.2016040104
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MLA

BenAli-Sougui, Ines, et al. "No-FSQL: A Graph-based Fuzzy NoSQL Querying Model." IJFSA vol.5, no.2 2016: pp.54-63. http://doi.org/10.4018/IJFSA.2016040104

APA

BenAli-Sougui, I., Hidri, M. S., & Grissa-Touzi, A. (2016). No-FSQL: A Graph-based Fuzzy NoSQL Querying Model. International Journal of Fuzzy System Applications (IJFSA), 5(2), 54-63. http://doi.org/10.4018/IJFSA.2016040104

Chicago

BenAli-Sougui, Ines, Minyar Sassi Hidri, and Amel Grissa-Touzi. "No-FSQL: A Graph-based Fuzzy NoSQL Querying Model," International Journal of Fuzzy System Applications (IJFSA) 5, no.2: 54-63. http://doi.org/10.4018/IJFSA.2016040104

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Abstract

NoSQL (Not only SQL) is an efficient database model for storing and manipulating huge quantities of precise data. However, most NoSQL databases scale well as data grows and often are flexible enough to accommodate imprecise and ambiguous data. This comprehensive hands-on guide presents fundamental concepts and practical solutions for using fuzziness with NoSQL to deals with fuzzy databases (FDB). In this paper, the authors present a graph-based fuzzy NoSQL model to deal with large fuzzy databases while extending the NoSQL one. The authors consider the cypher declarative query language proposed for Neo4j which is the current leader on this market to querying fuzzy databases.

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