Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering

Autores
Braun, Germán; Giménez, Christian; Fillottrani, Pablo Rubén; Cecchi, Laura
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The definition of suitable visual paradigms for ontology modelling is still an open issue. Despite obvious differences between the expressiveness of conceptual modelling (CM) languages and ontologies, many proposed tools have been based on UML, EER and ORM. Additionally, all of these tools support only one CM as visual language, reducing even more their modelling capabilities. In previous works, we have presented crowd as a Web architecture for graphical ontology designing in UML and logical reasoning to verify the relevant properties of these models. The aim of this tool is to extend the reasoning capabilities on top of visual representations as much as possible. In this paper, we present an extended crowd architecture and a new prototype focusing on an ontology-driven metamodel to enable different CMs visual languages for ontology modelling. Thus facilitating inter-model assertions across models represented in different languages, converting between modelling languages and reasoning on them. Finally, we detail the new architecture and demonstrate the usage of the prototype with simple examples.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
graphical ontology
Web architecture
crowd architecture
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/64934

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spelling Towards Conceptual Modelling Interoperability in a Web Tool for Ontology EngineeringBraun, GermánGiménez, ChristianFillottrani, Pablo RubénCecchi, LauraCiencias Informáticasgraphical ontologyWeb architecturecrowd architectureThe definition of suitable visual paradigms for ontology modelling is still an open issue. Despite obvious differences between the expressiveness of conceptual modelling (CM) languages and ontologies, many proposed tools have been based on UML, EER and ORM. Additionally, all of these tools support only one CM as visual language, reducing even more their modelling capabilities. In previous works, we have presented crowd as a Web architecture for graphical ontology designing in UML and logical reasoning to verify the relevant properties of these models. The aim of this tool is to extend the reasoning capabilities on top of visual representations as much as possible. In this paper, we present an extended crowd architecture and a new prototype focusing on an ontology-driven metamodel to enable different CMs visual languages for ontology modelling. Thus facilitating inter-model assertions across models represented in different languages, converting between modelling languages and reasoning on them. Finally, we detail the new architecture and demonstrate the usage of the prototype with simple examples.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2017-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf25-38http://sedici.unlp.edu.ar/handle/10915/64934enginfo:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SAOA/SAOA-03.pdfinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/4.0/Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:01:25Zoai:sedici.unlp.edu.ar:10915/64934Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:01:25.633SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering
title Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering
spellingShingle Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering
Braun, Germán
Ciencias Informáticas
graphical ontology
Web architecture
crowd architecture
title_short Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering
title_full Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering
title_fullStr Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering
title_full_unstemmed Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering
title_sort Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering
dc.creator.none.fl_str_mv Braun, Germán
Giménez, Christian
Fillottrani, Pablo Rubén
Cecchi, Laura
author Braun, Germán
author_facet Braun, Germán
Giménez, Christian
Fillottrani, Pablo Rubén
Cecchi, Laura
author_role author
author2 Giménez, Christian
Fillottrani, Pablo Rubén
Cecchi, Laura
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
graphical ontology
Web architecture
crowd architecture
topic Ciencias Informáticas
graphical ontology
Web architecture
crowd architecture
dc.description.none.fl_txt_mv The definition of suitable visual paradigms for ontology modelling is still an open issue. Despite obvious differences between the expressiveness of conceptual modelling (CM) languages and ontologies, many proposed tools have been based on UML, EER and ORM. Additionally, all of these tools support only one CM as visual language, reducing even more their modelling capabilities. In previous works, we have presented crowd as a Web architecture for graphical ontology designing in UML and logical reasoning to verify the relevant properties of these models. The aim of this tool is to extend the reasoning capabilities on top of visual representations as much as possible. In this paper, we present an extended crowd architecture and a new prototype focusing on an ontology-driven metamodel to enable different CMs visual languages for ontology modelling. Thus facilitating inter-model assertions across models represented in different languages, converting between modelling languages and reasoning on them. Finally, we detail the new architecture and demonstrate the usage of the prototype with simple examples.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description The definition of suitable visual paradigms for ontology modelling is still an open issue. Despite obvious differences between the expressiveness of conceptual modelling (CM) languages and ontologies, many proposed tools have been based on UML, EER and ORM. Additionally, all of these tools support only one CM as visual language, reducing even more their modelling capabilities. In previous works, we have presented crowd as a Web architecture for graphical ontology designing in UML and logical reasoning to verify the relevant properties of these models. The aim of this tool is to extend the reasoning capabilities on top of visual representations as much as possible. In this paper, we present an extended crowd architecture and a new prototype focusing on an ontology-driven metamodel to enable different CMs visual languages for ontology modelling. Thus facilitating inter-model assertions across models represented in different languages, converting between modelling languages and reasoning on them. Finally, we detail the new architecture and demonstrate the usage of the prototype with simple examples.
publishDate 2017
dc.date.none.fl_str_mv 2017-09
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dc.language.none.fl_str_mv eng
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-sa/4.0/
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/4.0/
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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