Towards conceptual and logical modelling of NoSQL databases

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10456481" target="_blank" >RIV/00216208:11320/22:10456481 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/22:00360882

Výsledek na webu

<a href="https://doi.org/10.1007/978-3-030-95354-6_15" target="_blank" >https://doi.org/10.1007/978-3-030-95354-6_15</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-95354-6_15" target="_blank" >10.1007/978-3-030-95354-6_15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards conceptual and logical modelling of NoSQL databases

Popis výsledku v původním jazyce

NoSQL databases (DB) support the ability to handle large volumes of data in the absence of an explicit data schema. On the other hand, schema information is sometimes essential for applications during data retrieval. Consequently, there are approaches to schema construction, e.g., in the JSON DB and graph DB communi-ties. The difference between a conceptual and database schema is often vague in this case. We use functional constructs - typed attributes for a conceptual view of DB that provide a sufficiently structured approach for expressing semantics of document and graph data. Attribute names are natural language expressions. Such typed func-tional data objects can be manipulated by terms of a typed λ-calculus, providing pow-erful nonprocedural query features for considered data structures. The calculus is extendible. Logical, arithmetic operations, and aggregation functions can be included there. Really, conceptual and database modelling merge in this case. The paper fo-cuses on conceptual/database schemas for JSON and graph NoSQL data models.

Název v anglickém jazyce

Towards conceptual and logical modelling of NoSQL databases

Popis výsledku anglicky

NoSQL databases (DB) support the ability to handle large volumes of data in the absence of an explicit data schema. On the other hand, schema information is sometimes essential for applications during data retrieval. Consequently, there are approaches to schema construction, e.g., in the JSON DB and graph DB communi-ties. The difference between a conceptual and database schema is often vague in this case. We use functional constructs - typed attributes for a conceptual view of DB that provide a sufficiently structured approach for expressing semantics of document and graph data. Attribute names are natural language expressions. Such typed func-tional data objects can be manipulated by terms of a typed λ-calculus, providing pow-erful nonprocedural query features for considered data structures. The calculus is extendible. Logical, arithmetic operations, and aggregation functions can be included there. Really, conceptual and database modelling merge in this case. The paper fo-cuses on conceptual/database schemas for JSON and graph NoSQL data models.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Information Systems Development. Crossing Boundaries Between Development and Operations in Information Systems

ISBN

978-3-030-95353-9

ISSN

—

e-ISSN

—

Počet stran výsledku

18

Strana od-do

255-272

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Valencia

Datum konání akce

8. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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