Generic data processing: a normalization exercise
- Autores
- Necco, Claudia Mónica; Oliveira, J. Nuno
- Año de publicación
- 2002
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- This paper describes an exercise in generic data normalization theory using a data reification calculus base on the categorial approach to datatypes. We develop a relational data model in a functional language and then use transformations to refine it. The exercise removes data redundancy in close similarity to conventional relational techniques, which extract functional dependences by schema decomposition [Mai83]. Finally the model is extended using the principles of generic programming, suggesting how to scale up normalization theory to arbitrary data.
Eje: Teoría
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Generic programming
polytypic programming
functional programming
program calculation
data reification
Normal forms
ADMINISTRATIVE DATA PROCESSING - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/23151
Ver los metadatos del registro completo
| id |
SEDICI_b7312d19f9db6db9a84b88c614d2707e |
|---|---|
| oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/23151 |
| network_acronym_str |
SEDICI |
| repository_id_str |
1329 |
| network_name_str |
SEDICI (UNLP) |
| spelling |
Generic data processing: a normalization exerciseNecco, Claudia MónicaOliveira, J. NunoCiencias InformáticasGeneric programmingpolytypic programmingfunctional programmingprogram calculationdata reificationNormal formsADMINISTRATIVE DATA PROCESSINGThis paper describes an exercise in generic data normalization theory using a data reification calculus base on the categorial approach to datatypes. We develop a relational data model in a functional language and then use transformations to refine it. The exercise removes data redundancy in close similarity to conventional relational techniques, which extract functional dependences by schema decomposition [Mai83]. Finally the model is extended using the principles of generic programming, suggesting how to scale up normalization theory to arbitrary data.Eje: TeoríaRed de Universidades con Carreras en Informática (RedUNCI)2002-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf751-761http://sedici.unlp.edu.ar/handle/10915/23151enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-12T10:20:11Zoai:sedici.unlp.edu.ar:10915/23151Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-12 10:20:11.872SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Generic data processing: a normalization exercise |
| title |
Generic data processing: a normalization exercise |
| spellingShingle |
Generic data processing: a normalization exercise Necco, Claudia Mónica Ciencias Informáticas Generic programming polytypic programming functional programming program calculation data reification Normal forms ADMINISTRATIVE DATA PROCESSING |
| title_short |
Generic data processing: a normalization exercise |
| title_full |
Generic data processing: a normalization exercise |
| title_fullStr |
Generic data processing: a normalization exercise |
| title_full_unstemmed |
Generic data processing: a normalization exercise |
| title_sort |
Generic data processing: a normalization exercise |
| dc.creator.none.fl_str_mv |
Necco, Claudia Mónica Oliveira, J. Nuno |
| author |
Necco, Claudia Mónica |
| author_facet |
Necco, Claudia Mónica Oliveira, J. Nuno |
| author_role |
author |
| author2 |
Oliveira, J. Nuno |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Generic programming polytypic programming functional programming program calculation data reification Normal forms ADMINISTRATIVE DATA PROCESSING |
| topic |
Ciencias Informáticas Generic programming polytypic programming functional programming program calculation data reification Normal forms ADMINISTRATIVE DATA PROCESSING |
| dc.description.none.fl_txt_mv |
This paper describes an exercise in generic data normalization theory using a data reification calculus base on the categorial approach to datatypes. We develop a relational data model in a functional language and then use transformations to refine it. The exercise removes data redundancy in close similarity to conventional relational techniques, which extract functional dependences by schema decomposition [Mai83]. Finally the model is extended using the principles of generic programming, suggesting how to scale up normalization theory to arbitrary data. Eje: Teoría Red de Universidades con Carreras en Informática (RedUNCI) |
| description |
This paper describes an exercise in generic data normalization theory using a data reification calculus base on the categorial approach to datatypes. We develop a relational data model in a functional language and then use transformations to refine it. The exercise removes data redundancy in close similarity to conventional relational techniques, which extract functional dependences by schema decomposition [Mai83]. Finally the model is extended using the principles of generic programming, suggesting how to scale up normalization theory to arbitrary data. |
| publishDate |
2002 |
| dc.date.none.fl_str_mv |
2002-10 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
| format |
conferenceObject |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/23151 |
| url |
http://sedici.unlp.edu.ar/handle/10915/23151 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
| dc.format.none.fl_str_mv |
application/pdf 751-761 |
| dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
| reponame_str |
SEDICI (UNLP) |
| collection |
SEDICI (UNLP) |
| instname_str |
Universidad Nacional de La Plata |
| instacron_str |
UNLP |
| institution |
UNLP |
| repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
| repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
| _version_ |
1848605265763500032 |
| score |
12.976206 |