Recovery geospatial objects using semantic similarity measures

Abstract

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.

Keywords

• Geographic object
• ontology
• semantic similarity
• spatial semantics