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Towards Fuzzy Querying of NoSQL Document-oriented Databases

Authors:
Abir Belhadj Kacem
Amel Grissa Touzi

Keywords: fuzzy queries; NoSQL oriented-document database; MongoDB; MQL; fMQL.

Abstract:
When querying databases, users have become more demanding to express vague concepts. We speak then of flexible queries which have been the subject of several researches in the case of relational databases. Unfortunately, Not Only SQL (NoSQL) databases do not support this type of queries. In this paper, we focus on NoSQL oriented-document databases because they are the most appropriate for use in the context of a web applications where the role of fuzziness is crucial (e.g., social networks). We consider MongoDB oriented-document Database Management System (DBMS), which represents a leader in this market. Thus, we present an extension of the Mongo Query Language (MQL) to support fuzzy queries (fMQL) as well an extension of MongoDB architecture to support fMQL.

Pages: 153 to 158

Copyright: Copyright (c) IARIA, 2015

Publication date: May 24, 2015

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-408-4

Location: Rome, Italy

Dates: from May 24, 2015 to May 29, 2015