Entity-relationship model and hypermedia concept mappings

Autores
Zanconi, Marcelo; Vitturini, Mercedes
Año de publicación
1998
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Modeling the thought has been subject of deep research in many different, and apparently disimile areas, such as psychology, history, computer sciences and antropology. By the middle of the century, machines were developed in the aim of modeling this thought and capable of answering question in "human way". This universal aim seemed to be too huge and models were designed to answer very much reduced problems. We can find in the area of artificial intelligence different tools which can model some problems. we can find in the area of artificial intelligence different tools which can model some problems. In particular, hypermedia concepts mapping serves as a tool to show a concept structure of a subject an the relation among other more basic concepts. In the area of database the entity-relationship model has overcome a universal tool to deal with information processing problems,. Completely far away, the area of teaching and learning has developed many tools to afford the problem of modeling the thought by understanding the way we think and we layout ideas. In this work, we analyse this two models, com[are them and arrive to some conclusions of their similarities and differences; even if their application areas are absolutely different, they share a common structural point and we also analyse the usefulness of solving a problem using one model by knowing the other.
Informática Educativa
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Informática
entity relationship model
concep mapping
data abstractions
Relation systems
Data mapping
Concept learning
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24017

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network_name_str SEDICI (UNLP)
spelling Entity-relationship model and hypermedia concept mappingsZanconi, MarceloVitturini, MercedesCiencias InformáticasInformáticaentity relationship modelconcep mappingdata abstractionsRelation systemsData mappingConcept learningModeling the thought has been subject of deep research in many different, and apparently disimile areas, such as psychology, history, computer sciences and antropology. By the middle of the century, machines were developed in the aim of modeling this thought and capable of answering question in "human way". This universal aim seemed to be too huge and models were designed to answer very much reduced problems. We can find in the area of artificial intelligence different tools which can model some problems. we can find in the area of artificial intelligence different tools which can model some problems. In particular, hypermedia concepts mapping serves as a tool to show a concept structure of a subject an the relation among other more basic concepts. In the area of database the entity-relationship model has overcome a universal tool to deal with information processing problems,. Completely far away, the area of teaching and learning has developed many tools to afford the problem of modeling the thought by understanding the way we think and we layout ideas. In this work, we analyse this two models, com[are them and arrive to some conclusions of their similarities and differences; even if their application areas are absolutely different, they share a common structural point and we also analyse the usefulness of solving a problem using one model by knowing the other.Informática EducativaRed de Universidades con Carreras en Informática (RedUNCI)1998-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24017enginfo: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:UNLP2025-09-29T10:55:41Zoai:sedici.unlp.edu.ar:10915/24017Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:41.4SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Entity-relationship model and hypermedia concept mappings
title Entity-relationship model and hypermedia concept mappings
spellingShingle Entity-relationship model and hypermedia concept mappings
Zanconi, Marcelo
Ciencias Informáticas
Informática
entity relationship model
concep mapping
data abstractions
Relation systems
Data mapping
Concept learning
title_short Entity-relationship model and hypermedia concept mappings
title_full Entity-relationship model and hypermedia concept mappings
title_fullStr Entity-relationship model and hypermedia concept mappings
title_full_unstemmed Entity-relationship model and hypermedia concept mappings
title_sort Entity-relationship model and hypermedia concept mappings
dc.creator.none.fl_str_mv Zanconi, Marcelo
Vitturini, Mercedes
author Zanconi, Marcelo
author_facet Zanconi, Marcelo
Vitturini, Mercedes
author_role author
author2 Vitturini, Mercedes
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Informática
entity relationship model
concep mapping
data abstractions
Relation systems
Data mapping
Concept learning
topic Ciencias Informáticas
Informática
entity relationship model
concep mapping
data abstractions
Relation systems
Data mapping
Concept learning
dc.description.none.fl_txt_mv Modeling the thought has been subject of deep research in many different, and apparently disimile areas, such as psychology, history, computer sciences and antropology. By the middle of the century, machines were developed in the aim of modeling this thought and capable of answering question in "human way". This universal aim seemed to be too huge and models were designed to answer very much reduced problems. We can find in the area of artificial intelligence different tools which can model some problems. we can find in the area of artificial intelligence different tools which can model some problems. In particular, hypermedia concepts mapping serves as a tool to show a concept structure of a subject an the relation among other more basic concepts. In the area of database the entity-relationship model has overcome a universal tool to deal with information processing problems,. Completely far away, the area of teaching and learning has developed many tools to afford the problem of modeling the thought by understanding the way we think and we layout ideas. In this work, we analyse this two models, com[are them and arrive to some conclusions of their similarities and differences; even if their application areas are absolutely different, they share a common structural point and we also analyse the usefulness of solving a problem using one model by knowing the other.
Informática Educativa
Red de Universidades con Carreras en Informática (RedUNCI)
description Modeling the thought has been subject of deep research in many different, and apparently disimile areas, such as psychology, history, computer sciences and antropology. By the middle of the century, machines were developed in the aim of modeling this thought and capable of answering question in "human way". This universal aim seemed to be too huge and models were designed to answer very much reduced problems. We can find in the area of artificial intelligence different tools which can model some problems. we can find in the area of artificial intelligence different tools which can model some problems. In particular, hypermedia concepts mapping serves as a tool to show a concept structure of a subject an the relation among other more basic concepts. In the area of database the entity-relationship model has overcome a universal tool to deal with information processing problems,. Completely far away, the area of teaching and learning has developed many tools to afford the problem of modeling the thought by understanding the way we think and we layout ideas. In this work, we analyse this two models, com[are them and arrive to some conclusions of their similarities and differences; even if their application areas are absolutely different, they share a common structural point and we also analyse the usefulness of solving a problem using one model by knowing the other.
publishDate 1998
dc.date.none.fl_str_mv 1998-10
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/10915/24017
url http://sedici.unlp.edu.ar/handle/10915/24017
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
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
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