SciELO - Scientific Electronic Library Online

 
vol.38 número2Aprendizaje organizacional: caso una panificadoraAnálisis de tesis doctorales de ingeniería industrial: creación de repositorio índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

  • Não possue artigos citadosCitado por SciELO

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Ingeniería Industrial

versão On-line ISSN 1815-5936

Resumo

SANCHEZ-FLEITAS, Nayi; COMAS-RODRIGUEZ, Raúl  e  GARCIA-LORENZO, María Matilde. Geographic information system and ontologies for the decision making in the electric management. Ing. Ind. [online]. 2017, vol.38, n.2, pp.171-181. ISSN 1815-5936.

To achieve an effective geographic information system, which responds to the different requests of users, a model to manage data on a deep domain conceptual scheme is needed. Based on the study of the state of the art of geographic information systems, especially those used in the electrical sector, it’s determined as the objective of this research: to establish an ontology that provides recovery capabilities to the Geographic Information System of the Electricity Union in the management of data to facilitate the decision making in the different processes of the electrical management. With the development of a light ontology, which in its conceptualization only incorporates concepts with their taxonomy and relations (properties of objects), facilitates the processing and analysis of the data, avoiding compatibility problems. The GIS developed has national character and is applicable to the different areas that divide the electric companies. Among the main benefits of the system are: easy to make queries, a viewer of all information contained in the database, access to information in a language closer to natural and facilities for resources management and the process of decision making. The ISO-9126:2002 norm for the evaluation of the software the standards of quality of was used.

Palavras-chave : geographic information system; ontologies; descriptive logic; electric secto.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons