Recovery geospatial objects using semantic similarity measures

In this paper we propose a methodology based on the semantic processing of geographic objects for the classification of soils according to the New Version of Genetic Classification of soils of Cuba. The method consists of five stages: conceptualization, synthesis, queries processing, retriev...

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Main Authors: Neili Machado-García, Lilibeth González-Ruiz, Carlos Balmaseda-Espinosa
Format: Article
Language:Spanish
Published: Universidad de Ciencias Informáticas 2014-04-01
Series:Revista Cubana de Ciencias Informáticas
Subjects:
Online Access:http://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=780&path[]=264
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author Neili Machado-García
Lilibeth González-Ruiz
Carlos Balmaseda-Espinosa
author_facet Neili Machado-García
Lilibeth González-Ruiz
Carlos Balmaseda-Espinosa
author_sort Neili Machado-García
collection DOAJ
description In this paper we propose a methodology based on the semantic processing of geographic objects for the classification of soils according to the New Version of Genetic Classification of soils of Cuba. The method consists of five stages: conceptualization, synthesis, queries processing, retrieval and management. The result is a system of geospatial information management applying semantic similarity measure of Resnik. As a case study considering the region of San Jose de las Lajas located in the province of Mayabeque.
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2227-1899
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spelling doaj.art-5d6290a8576d49e3b79f66ffe898640d2022-12-22T00:35:43ZspaUniversidad de Ciencias InformáticasRevista Cubana de Ciencias Informáticas1994-15362227-18992014-04-0182132143Recovery geospatial objects using semantic similarity measuresNeili Machado-García0Lilibeth González-Ruiz1Carlos Balmaseda-Espinosa2Departamento de Informática. Universidad Agraria de la Habana "Fructuoso Rodríguez Pérez", Carretera Tapaste y Autopista Nacional, km 23 ½, San José de Las Lajas, Mayabeque, Cuba, CP 32700Departamento de Informática. Universidad Agraria de la Habana "Fructuoso Rodríguez Pérez", Carretera Tapaste y Autopista Nacional, km 23 ½, San José de Las Lajas, Mayabeque, Cuba, CP 32700Departamento de Gestión de la Calidad, Universidad Agraria de la Habana "Fructuoso Rodríguez Pérez". Carretera Tapaste y Autopista Nacional Km 23 ½, San José de Las Lajas, Mayabeque, Cuba, CP 32700In this paper we propose a methodology based on the semantic processing of geographic objects for the classification of soils according to the New Version of Genetic Classification of soils of Cuba. The method consists of five stages: conceptualization, synthesis, queries processing, retrieval and management. The result is a system of geospatial information management applying semantic similarity measure of Resnik. As a case study considering the region of San Jose de las Lajas located in the province of Mayabeque.http://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=780&path[]=264Geographic objectontologysemantic similarityspatial semantics
spellingShingle Neili Machado-García
Lilibeth González-Ruiz
Carlos Balmaseda-Espinosa
Recovery geospatial objects using semantic similarity measures
Revista Cubana de Ciencias Informáticas
Geographic object
ontology
semantic similarity
spatial semantics
title Recovery geospatial objects using semantic similarity measures
title_full Recovery geospatial objects using semantic similarity measures
title_fullStr Recovery geospatial objects using semantic similarity measures
title_full_unstemmed Recovery geospatial objects using semantic similarity measures
title_short Recovery geospatial objects using semantic similarity measures
title_sort recovery geospatial objects using semantic similarity measures
topic Geographic object
ontology
semantic similarity
spatial semantics
url http://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=780&path[]=264
work_keys_str_mv AT neilimachadogarcia recoverygeospatialobjectsusingsemanticsimilaritymeasures
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AT carlosbalmasedaespinosa recoverygeospatialobjectsusingsemanticsimilaritymeasures