crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report

Autores
Gimenez, Christian; Braun, Germán; Cecchi, Laura; Fillottrani, Pablo
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
There is an increment on the complexity of the information systems derived from new paradigms, for example Semantic Web, Big Data, e-government, etc. which require high quality solutions to tackle complex problems such as information integration. This quality is widely determined by the conceptual level. In this work, we present crowd as a novel tool for designing both conceptual models and ontologies based on visual representations with assistance of logic-based reasoning services. The challenge and the intention behind this work is to define graphicallogical methodologies as effective solutions for the description of interest domains at conceptual level. We detail the tool and demonstrate the usage of an initial prototype with some simple examples. Moreover, we identify limitations and potential issues about modelling and propose some partial solutions to tackle them. Currently, we are working to release the first beta version of crowd.
Fil: Gimenez, Christian. Universidad Nacional del Comahue. Facultad de Informática. Grupo de Investigación en Lenguajes e Inteligencia Artificial; Argentina.
Fil: Braun, Germán. Universidad Nacional del Comahue. Facultad de Informática. Grupo de Investigación en Lenguajes e Inteligencia Artificial; Argentina.
Fil: Cecchi, Laura. Universidad Nacional del Comahue. Facultad de Informática. Grupo de Investigación en Lenguajes e Inteligencia Artificial; Argentina.
Fil: Fillottrani, Pablo. Universidad Nacional del Sur. Departamento de Ciencias e Ingenierías de la Computación. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires; Argentina.
Fuente
II Simposio Argentino de Ontologías y sus Aplicaciones
45 Jornadas Argentinas de Informática e Investigación Operativa
Materia
crowd
Conceptual modelling
Automated reasoning
Ciencias de la Computación e Información
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Repositorio Digital Institucional (UNCo)
Institución
Universidad Nacional del Comahue
OAI Identificador
oai:rdi.uncoma.edu.ar:uncomaid/18457

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network_acronym_str RDIUNCO
repository_id_str 7108
network_name_str Repositorio Digital Institucional (UNCo)
spelling crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary ReportGimenez, ChristianBraun, GermánCecchi, LauraFillottrani, PablocrowdConceptual modellingAutomated reasoningCiencias de la Computación e InformaciónThere is an increment on the complexity of the information systems derived from new paradigms, for example Semantic Web, Big Data, e-government, etc. which require high quality solutions to tackle complex problems such as information integration. This quality is widely determined by the conceptual level. In this work, we present crowd as a novel tool for designing both conceptual models and ontologies based on visual representations with assistance of logic-based reasoning services. The challenge and the intention behind this work is to define graphicallogical methodologies as effective solutions for the description of interest domains at conceptual level. We detail the tool and demonstrate the usage of an initial prototype with some simple examples. Moreover, we identify limitations and potential issues about modelling and propose some partial solutions to tackle them. Currently, we are working to release the first beta version of crowd.Fil: Gimenez, Christian. Universidad Nacional del Comahue. Facultad de Informática. Grupo de Investigación en Lenguajes e Inteligencia Artificial; Argentina.Fil: Braun, Germán. Universidad Nacional del Comahue. Facultad de Informática. Grupo de Investigación en Lenguajes e Inteligencia Artificial; Argentina.Fil: Cecchi, Laura. Universidad Nacional del Comahue. Facultad de Informática. Grupo de Investigación en Lenguajes e Inteligencia Artificial; Argentina.Fil: Fillottrani, Pablo. Universidad Nacional del Sur. Departamento de Ciencias e Ingenierías de la Computación. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires; Argentina.Sociedad Argentina de Informática e Investigación Operativa2016-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfpp.29-41application/pdf2451-7518https://rdi.uncoma.edu.ar/handle/uncomaid/18457II Simposio Argentino de Ontologías y sus Aplicaciones45 Jornadas Argentinas de Informática e Investigación Operativareponame:Repositorio Digital Institucional (UNCo)instname:Universidad Nacional del Comahueenghttp://45jaiio.sadio.org.ar/sites/default/files/SAOA-03.pdfhttps://45jaiio.sadio.org.ar/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/2025-09-29T14:28:44Zoai:rdi.uncoma.edu.ar:uncomaid/18457instacron:UNCoInstitucionalhttp://rdi.uncoma.edu.ar/Universidad públicaNo correspondehttp://rdi.uncoma.edu.ar/oaimirtha.mateo@biblioteca.uncoma.edu.ar; adriana.acuna@biblioteca.uncoma.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:71082025-09-29 14:28:45.087Repositorio Digital Institucional (UNCo) - Universidad Nacional del Comahuefalse
dc.title.none.fl_str_mv crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report
title crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report
spellingShingle crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report
Gimenez, Christian
crowd
Conceptual modelling
Automated reasoning
Ciencias de la Computación e Información
title_short crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report
title_full crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report
title_fullStr crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report
title_full_unstemmed crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report
title_sort crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report
dc.creator.none.fl_str_mv Gimenez, Christian
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo
author Gimenez, Christian
author_facet Gimenez, Christian
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo
author_role author
author2 Braun, Germán
Cecchi, Laura
Fillottrani, Pablo
author2_role author
author
author
dc.subject.none.fl_str_mv crowd
Conceptual modelling
Automated reasoning
Ciencias de la Computación e Información
topic crowd
Conceptual modelling
Automated reasoning
Ciencias de la Computación e Información
dc.description.none.fl_txt_mv There is an increment on the complexity of the information systems derived from new paradigms, for example Semantic Web, Big Data, e-government, etc. which require high quality solutions to tackle complex problems such as information integration. This quality is widely determined by the conceptual level. In this work, we present crowd as a novel tool for designing both conceptual models and ontologies based on visual representations with assistance of logic-based reasoning services. The challenge and the intention behind this work is to define graphicallogical methodologies as effective solutions for the description of interest domains at conceptual level. We detail the tool and demonstrate the usage of an initial prototype with some simple examples. Moreover, we identify limitations and potential issues about modelling and propose some partial solutions to tackle them. Currently, we are working to release the first beta version of crowd.
Fil: Gimenez, Christian. Universidad Nacional del Comahue. Facultad de Informática. Grupo de Investigación en Lenguajes e Inteligencia Artificial; Argentina.
Fil: Braun, Germán. Universidad Nacional del Comahue. Facultad de Informática. Grupo de Investigación en Lenguajes e Inteligencia Artificial; Argentina.
Fil: Cecchi, Laura. Universidad Nacional del Comahue. Facultad de Informática. Grupo de Investigación en Lenguajes e Inteligencia Artificial; Argentina.
Fil: Fillottrani, Pablo. Universidad Nacional del Sur. Departamento de Ciencias e Ingenierías de la Computación. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires; Argentina.
description There is an increment on the complexity of the information systems derived from new paradigms, for example Semantic Web, Big Data, e-government, etc. which require high quality solutions to tackle complex problems such as information integration. This quality is widely determined by the conceptual level. In this work, we present crowd as a novel tool for designing both conceptual models and ontologies based on visual representations with assistance of logic-based reasoning services. The challenge and the intention behind this work is to define graphicallogical methodologies as effective solutions for the description of interest domains at conceptual level. We detail the tool and demonstrate the usage of an initial prototype with some simple examples. Moreover, we identify limitations and potential issues about modelling and propose some partial solutions to tackle them. Currently, we are working to release the first beta version of crowd.
publishDate 2016
dc.date.none.fl_str_mv 2016-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv 2451-7518
https://rdi.uncoma.edu.ar/handle/uncomaid/18457
identifier_str_mv 2451-7518
url https://rdi.uncoma.edu.ar/handle/uncomaid/18457
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://45jaiio.sadio.org.ar/sites/default/files/SAOA-03.pdf
https://45jaiio.sadio.org.ar/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
pp.29-41
application/pdf
dc.publisher.none.fl_str_mv Sociedad Argentina de Informática e Investigación Operativa
publisher.none.fl_str_mv Sociedad Argentina de Informática e Investigación Operativa
dc.source.none.fl_str_mv II Simposio Argentino de Ontologías y sus Aplicaciones
45 Jornadas Argentinas de Informática e Investigación Operativa
reponame:Repositorio Digital Institucional (UNCo)
instname:Universidad Nacional del Comahue
reponame_str Repositorio Digital Institucional (UNCo)
collection Repositorio Digital Institucional (UNCo)
instname_str Universidad Nacional del Comahue
repository.name.fl_str_mv Repositorio Digital Institucional (UNCo) - Universidad Nacional del Comahue
repository.mail.fl_str_mv mirtha.mateo@biblioteca.uncoma.edu.ar; adriana.acuna@biblioteca.uncoma.edu.ar
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