Extraction of Semantic Links from a Document-Oriented NoSQL Database

The prior declaration of a schema when creating a database (DB) is not necessary for most NoSQL systems. This “Schemaless” property is important since it provides undeniable flexibility during data exploitation. However, the absence of schema is a major obstacle to the expression of precise queries...

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Bibliographic Details
Published in:SN computer science Vol. 4; no. 2; p. 148
Main Authors: Abdelhedi, Fatma, Rajhi, Hela, Zurfluh, Gilles
Format: Journal Article
Language:English
Published: Singapore Springer Nature Singapore 09.01.2023
Springer Nature B.V
Springer
Series:Advances on Model-Driven Engineering and Software Development
Subjects:
Advances on Model-Driven Engineering and Software Development
Case studies
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Data Structures and Information Theory
Disease
Documents
Information Systems and Communication Service
Inheritances
Metamodels
Motivation
Names
Original Research
Patients
Pattern Recognition and Graphics
Queries
Semantics
Software
Software development
Software engineering
Software Engineering/Programming and Operating Systems
User needs
Vision
Logical schema
Models transformation
NoSQL DB
Schemaless
QVT
Semantic links
ISSN:2661-8907, 2662-995X, 2661-8907
Online Access:Get full text
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Summary:The prior declaration of a schema when creating a database (DB) is not necessary for most NoSQL systems. This “Schemaless” property is important since it provides undeniable flexibility during data exploitation. However, the absence of schema is a major obstacle to the expression of precise queries on a DB. A new area of research has emerged to allow users of Schemaless NoSQL systems to visualize the schema of the data. Research works have proposed schema extraction processes, but these solutions are generally limited. In our previous works (Abdelhedi et al. in Proceedings of the 10th international conference on model-driven engineering and software development, pp 61–71. https://doi.org/10.5220/0010899000003119 , 2022), we proposed a logical schema extraction process for a document-oriented NoSQL DB to address the needs of a medical application. In this paper, we extend this process to additional relationship types. To do this, we use the model driven architecture which proposes a development method based on metamodeling and the definition of transformation rules. The DB schema is obtained by applying a set of transformation rules to the specifications extracted from the DB. The interest of our process is to produce a schema that allows users of a NoSQL DB to build complex and precise queries. This is useful for both computer scientists who create a large number of complex queries as well as for decision makers who often have difficulty in apprehending the semantic of the data. Our extraction process was implemented in a medical application.
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ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-022-01578-z