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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
Universidad de Ciencias Informáticas
2014-04-01
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| 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 |
| Summary: | 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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| ISSN: | 1994-1536 2227-1899 |