Conceptual Graphs Based Modeling of MongoDB Data Structure and Query

Varga, Viorica; Andor, Camelia-Florina; Săcărea, Christian

doi:10.1007/978-3-030-23182-8_21

Graph-Based Representation and Reasoning

2019

DOI: 10.1007/978-3-030-23182-8_21

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Conceptual Graphs Based Modeling of MongoDB Data Structure and Query

Viorica Varga

Camelia-Florina Andor

Christian Săcărea

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2024

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Schema Extraction in NoSQL Databases: A Systematic Literature Review

Belefqih,

Zellou,

Berquedich

2024

RACSC

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Introduction: Nowadays, NoSQL databases have taken on an increasingly important role in the storage of massive data within companies. Due to a common property called schema-less, NoSQL databases offer great flexibility, particularly for the storage of data in different formats. However, despite their success in data storage, schema-less databases are a major obstacle in areas requiring precise knowledge of this schema, especially in the field of data integration. Method: This study presents a Systematic Literature Review (SLR) to explore, evaluate, and discuss relevant existing research and endeavors using novel schema extraction approaches. Furthermore, we conducted this study using a well-defined methodology to examine and study the problem of schema extraction from NoSQL databases. Results: Our research results highlight and emphasize the scheme extraction approaches and provide knowledge to researchers and practitioners by proposing schema extraction approaches and their limitations, which contributes to inventing new, more efficient approaches. Conclusion: In our future work, inspired by the recent advances in quantum computing and the emergence of post-quantum cryptography (PQC), we aim to propose a schema extraction approach that blends cutting-edge technologies with a strong focus on database security.

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Schema Extraction in NoSQL Databases: A Systematic Literature Review

Belefqih,

Zellou,

Berquedich

2024

RACSC

View full text Add to dashboard Cite

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Conceptual Graphs Based Modeling of MongoDB Data Structure and Query

Cited by 1 publication

References 4 publications

Schema Extraction in NoSQL Databases: A Systematic Literature Review

Schema Extraction in NoSQL Databases: A Systematic Literature Review

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