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

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 l...

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Autores principales: Gimenez, Christian, Braun, Germán, Cecchi, Laura, Fillottrani, Pablo
Formato: Articulo article acceptedVersion
Lenguaje:Inglés
Publicado: Sociedad Argentina de Informática e Investigación Operativa 2016
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Acceso en línea:https://rdi.uncoma.edu.ar/handle/uncomaid/18457
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spelling I22-R178-uncomaid-184572025-02-05T14:12:06Z crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report Gimenez, Christian Braun, Germán Cecchi, Laura Fillottrani, Pablo crowd Conceptual modelling Automated reasoning Ciencias de la Computación e Información 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. 2016-09 2025-01-03T17:01:59Z 2025-01-03T17:01:59Z Articulo article acceptedVersion 2451-7518 https://rdi.uncoma.edu.ar/handle/uncomaid/18457 eng http://45jaiio.sadio.org.ar/sites/default/files/SAOA-03.pdf https://45jaiio.sadio.org.ar/ Atribución-NoComercial-CompartirIgual 4.0 https://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf pp.29-41 application/pdf Sociedad Argentina de Informática e Investigación Operativa II Simposio Argentino de Ontologías y sus Aplicaciones 45 Jornadas Argentinas de Informática e Investigación Operativa
institution Universidad Nacional del Comahue
institution_str I-22
repository_str R-178
collection Repositorio Institucional UNCo
language Inglés
topic crowd
Conceptual modelling
Automated reasoning
Ciencias de la Computación e Información
spellingShingle crowd
Conceptual modelling
Automated reasoning
Ciencias de la Computación e Información
Gimenez, Christian
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo
crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report
topic_facet crowd
Conceptual modelling
Automated reasoning
Ciencias de la Computación e Información
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.
format Articulo
article
acceptedVersion
author Gimenez, Christian
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo
author_facet Gimenez, Christian
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo
author_sort Gimenez, Christian
title crowd: A Tool for Conceptual Modelling assisted by Automated Reasoning - Preliminary Report
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
publisher Sociedad Argentina de Informática e Investigación Operativa
publishDate 2016
url https://rdi.uncoma.edu.ar/handle/uncomaid/18457
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AT cecchilaura crowdatoolforconceptualmodellingassistedbyautomatedreasoningpreliminaryreport
AT fillottranipablo crowdatoolforconceptualmodellingassistedbyautomatedreasoningpreliminaryreport
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