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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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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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 |
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Universidad Nacional del Comahue |
| institution_str |
I-22 |
| repository_str |
R-178 |
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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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