Semantic Support for Scenarios to Improve Communication in Agribusiness
- Autores
- Antonelli, Leandro; Torres, Diego; Hozikian, Mariángeles; Hernandez, Jorge E.
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Organizations produce and exchange a lot of critical information to obtain good results. Systems developed in different domains are adapted to be integrated when they need to exchange information. Food and agribusiness are not the exceptions, they are pioneers in the use of massive data and collaboration. One of the biggest challenges to communicate software systems is analyzing their colliding context. Every software system relies on its own context, with its rules, dynamic, and language. It is a big effort to have a complete understanding of the composed domain. Scenarios are well-known tools to describe domains and are commonly described with text. When Scenarios are built by different stakeholders it is extremely important to review them in order to unify their description. Thus, the improved Scenarios with a unified point of view make it possible an analysis to identify the relationship between two different domains. This analysis is the key to design a mechanism to exchange information. This paper proposes a semantic definition of Scenarios and a set of queries to identify issues in the Scenarios and improve their quality. We also provide a wiki platform to implement the semantic support and the queries.
Publicado en IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 568). - Materia
-
Ciencias de la Computación e Información
Agribusiness
Requirements
Scenarios
Ontologies - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/10653
Ver los metadatos del registro completo
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Semantic Support for Scenarios to Improve Communication in AgribusinessAntonelli, LeandroTorres, DiegoHozikian, MariángelesHernandez, Jorge E.Ciencias de la Computación e InformaciónAgribusinessRequirementsScenariosOntologiesOrganizations produce and exchange a lot of critical information to obtain good results. Systems developed in different domains are adapted to be integrated when they need to exchange information. Food and agribusiness are not the exceptions, they are pioneers in the use of massive data and collaboration. One of the biggest challenges to communicate software systems is analyzing their colliding context. Every software system relies on its own context, with its rules, dynamic, and language. It is a big effort to have a complete understanding of the composed domain. Scenarios are well-known tools to describe domains and are commonly described with text. When Scenarios are built by different stakeholders it is extremely important to review them in order to unify their description. Thus, the improved Scenarios with a unified point of view make it possible an analysis to identify the relationship between two different domains. This analysis is the key to design a mechanism to exchange information. This paper proposes a semantic definition of Scenarios and a set of queries to identify issues in the Scenarios and improve their quality. We also provide a wiki platform to implement the semantic support and the queries.Publicado en IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 568).2019info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10653enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:20Zoai:digital.cic.gba.gob.ar:11746/10653Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:20.622CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
dc.title.none.fl_str_mv |
Semantic Support for Scenarios to Improve Communication in Agribusiness |
title |
Semantic Support for Scenarios to Improve Communication in Agribusiness |
spellingShingle |
Semantic Support for Scenarios to Improve Communication in Agribusiness Antonelli, Leandro Ciencias de la Computación e Información Agribusiness Requirements Scenarios Ontologies |
title_short |
Semantic Support for Scenarios to Improve Communication in Agribusiness |
title_full |
Semantic Support for Scenarios to Improve Communication in Agribusiness |
title_fullStr |
Semantic Support for Scenarios to Improve Communication in Agribusiness |
title_full_unstemmed |
Semantic Support for Scenarios to Improve Communication in Agribusiness |
title_sort |
Semantic Support for Scenarios to Improve Communication in Agribusiness |
dc.creator.none.fl_str_mv |
Antonelli, Leandro Torres, Diego Hozikian, Mariángeles Hernandez, Jorge E. |
author |
Antonelli, Leandro |
author_facet |
Antonelli, Leandro Torres, Diego Hozikian, Mariángeles Hernandez, Jorge E. |
author_role |
author |
author2 |
Torres, Diego Hozikian, Mariángeles Hernandez, Jorge E. |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias de la Computación e Información Agribusiness Requirements Scenarios Ontologies |
topic |
Ciencias de la Computación e Información Agribusiness Requirements Scenarios Ontologies |
dc.description.none.fl_txt_mv |
Organizations produce and exchange a lot of critical information to obtain good results. Systems developed in different domains are adapted to be integrated when they need to exchange information. Food and agribusiness are not the exceptions, they are pioneers in the use of massive data and collaboration. One of the biggest challenges to communicate software systems is analyzing their colliding context. Every software system relies on its own context, with its rules, dynamic, and language. It is a big effort to have a complete understanding of the composed domain. Scenarios are well-known tools to describe domains and are commonly described with text. When Scenarios are built by different stakeholders it is extremely important to review them in order to unify their description. Thus, the improved Scenarios with a unified point of view make it possible an analysis to identify the relationship between two different domains. This analysis is the key to design a mechanism to exchange information. This paper proposes a semantic definition of Scenarios and a set of queries to identify issues in the Scenarios and improve their quality. We also provide a wiki platform to implement the semantic support and the queries. Publicado en IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 568). |
description |
Organizations produce and exchange a lot of critical information to obtain good results. Systems developed in different domains are adapted to be integrated when they need to exchange information. Food and agribusiness are not the exceptions, they are pioneers in the use of massive data and collaboration. One of the biggest challenges to communicate software systems is analyzing their colliding context. Every software system relies on its own context, with its rules, dynamic, and language. It is a big effort to have a complete understanding of the composed domain. Scenarios are well-known tools to describe domains and are commonly described with text. When Scenarios are built by different stakeholders it is extremely important to review them in order to unify their description. Thus, the improved Scenarios with a unified point of view make it possible an analysis to identify the relationship between two different domains. This analysis is the key to design a mechanism to exchange information. This paper proposes a semantic definition of Scenarios and a set of queries to identify issues in the Scenarios and improve their quality. We also provide a wiki platform to implement the semantic support and the queries. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://digital.cic.gba.gob.ar/handle/11746/10653 |
url |
https://digital.cic.gba.gob.ar/handle/11746/10653 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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application/pdf |
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Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
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CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
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marisa.degiusti@sedici.unlp.edu.ar |
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13.069144 |