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International Conference on Technology Trends

CITT 2018: Technology Trends pp 446–461Cite as

Geographical Information System Based on Artificial Intelligence Techniques

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 895))

Abstract

The Electrical Union in Cuba develops the Business Management System of the Electrical Union (SIGE) that focuses on the automation of electrical processes. The geographic information systems (SIGOBE) developed don’t meet the specific requirements for their generalization due to their limited updating facilities and the small spectrum they cover. The general objective of the research is: to develop the geographic information system of the transmission and distribution processes in the Electric Union, with the use of artificial intelligence techniques, on a deep conceptual scheme of the domain, that responds to the requests of consultation of users as support for decision making. A case-based system on type problem solved was designed, using as an initial case database, the 265 static queries registered in SIGERE. The queries are described by eight data-type predictive traits and three objective traits. The similarity between two cases was determined by the weighted sum of the distance of their traits and the calculation of the distance between traits was done according to its nature. An intelligent real-time queries system was implemented for the SIGOBE, achieving the generation of automatic queries that allow the system to respond to any type of queries in real-time. The experimental study shows the feasibility of the proposal.

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Author information

Authors and Affiliations

  1. Universidad Central “Marta Abreu” de Las Villas, 50100, Santa Clara, Villa Clara, Cuba

    Nayi Sánchez Fleitas & María Matilde García Lorenzo

  2. Universidad Regional Autónoma de los Andes, Ambato, 180101, Tungurahua, Ecuador

    Raúl Comas Rodríguez & Frankz Carrera

Authors
  1. Nayi Sánchez Fleitas
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  2. Raúl Comas Rodríguez
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  3. María Matilde García Lorenzo
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  4. Frankz Carrera
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Corresponding authors

Correspondence to Nayi Sánchez Fleitas , Raúl Comas Rodríguez or Frankz Carrera .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Miguel Botto-Tobar

  2. Computer Science, Politecnica Salesiana University, Cuenca, Ecuador

    Guillermo Pizarro

  3. Facultad de Ingenieria, University of Cuenca, Cuenca, Ecuador

    Miguel Zúñiga-Prieto

  4. Universidad Estatal de Milagro, San Francisco de Milagro, Ecuador

    Mayra D’Armas

  5. Universidad Técnica de Babahoyo, Babahoyo, Ecuador

    Miguel Zúñiga Sánchez

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Sánchez Fleitas, N., Comas Rodríguez, R., García Lorenzo, M.M., Carrera, F. (2019). Geographical Information System Based on Artificial Intelligence Techniques. In: Botto-Tobar, M., Pizarro, G., Zúñiga-Prieto, M., D’Armas, M., Zúñiga Sánchez, M. (eds) Technology Trends. CITT 2018. Communications in Computer and Information Science, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-05532-5_33

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  • DOI: https://doi.org/10.1007/978-3-030-05532-5_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05531-8

  • Online ISBN: 978-3-030-05532-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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