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

Autores
Giménez, Christian; Braun, Germán; Cecchi, Laura; Fillottrani, Pablo Rubén
Año de publicación
2016
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
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.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
modelos conceptuales
Metodología
ontologías
representaciones visuales
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/58234
Acceder
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network_name_str SEDICI (UNLP)
spelling crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning : Preliminary ReportGiménez, ChristianBraun, GermánCecchi, LauraFillottrani, Pablo RubénCiencias Informáticasmodelos conceptualesMetodologíaontologíasrepresentaciones visualesThere 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.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2016-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf29-41http://sedici.unlp.edu.ar/handle/10915/58234enginfo:eu-repo/semantics/altIdentifier/url/http://45jaiio.sadio.org.ar/sites/default/files/SAOA-03.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7518info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:48:04Zoai:sedici.unlp.edu.ar:10915/58234Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:48:04.564SEDICI (UNLP) - Universidad Nacional de La Platafalse
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
Giménez, Christian
Ciencias Informáticas
modelos conceptuales
Metodología
ontologías
representaciones visuales
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 Giménez, Christian
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo Rubén
author Giménez, Christian
author_facet Giménez, Christian
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo Rubén
author_role author
author2 Braun, Germán
Cecchi, Laura
Fillottrani, Pablo Rubén
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
modelos conceptuales
Metodología
ontologías
representaciones visuales
topic Ciencias Informáticas
modelos conceptuales
Metodología
ontologías
representaciones visuales
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.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
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
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info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/58234
url http://sedici.unlp.edu.ar/handle/10915/58234
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://45jaiio.sadio.org.ar/sites/default/files/SAOA-03.pdf
info:eu-repo/semantics/altIdentifier/issn/2451-7518
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-sa/3.0/
Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/3.0/
Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
dc.format.none.fl_str_mv application/pdf
29-41
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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