Abstract
In scenarios where capturing and efficiently managing data from heterogeneous data sources can be an advantage, the development and use of ontologies is increasingly common. In this paper, an ontology-based data management model applied to the Geographic Information System denominated SIGOBE as part of the Business Management System of the Cuban Electric Union (SIGE), is presented. The proposed data management model combines the use of a developed domain ontology (OntoSIGOBE), with an intelligent query answering process based on the case-based reasoning technic. OntoSIGOBE represents the conceptualization associated to the distribution and transmission processes of electrical energy, and the captured knowledge from the heterogeneous data sources of SIGE. OntoSIGOBE allows achieve the semantic interoperability between the data sources and the query answering process. The obtained results evidence that the proposed model provides a flexible and integrated data access in SIGOBE reaching high satisfaction to the end users.
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Comas Rodríguez, R., Simón-Cuevas, A., Sánchez Fleitas, N., García Lorenzo, M.M. (2020). An Ontology-Based Data Management Model Applied to a Real Information System. In: Nummenmaa, J., Pérez-González, F., Domenech-Lega, B., Vaunat, J., Oscar Fernández-Peña, F. (eds) Advances and Applications in Computer Science, Electronics and Industrial Engineering. CSEI 2019. Advances in Intelligent Systems and Computing, vol 1078. Springer, Cham. https://doi.org/10.1007/978-3-030-33614-1_3
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