Qualitative spatial reasoning methodology to determine the particular domain of a set of geographic objects

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Abstract

© 2016 Published by Elsevier Ltd. Nowadays, there are many geospatial information from different sources such as satellite images, aerial photographs, maps, databases and others. They provide a comprehensive description of geographic objects. However, the task to identify the geographic domain is not an easy task, because it involves a semantic processing related to inference approaches that are based on the conceptualization of a domain. These approaches allow us to understand in a similar way that human beings recognize the geographic entities and help us to avoid vagueness and uncertainty. In this paper, a methodology to perform a qualitative spatial reasoning in geospatial representations is proposed. It is based on a priori knowledge, which is explicitly formalized by means of an application ontology. The knowledge described in the ontology is assessed according to a set of labels, belonging to any geographical domain for semantic analysis and mapping those labels to matching concepts defined in the ontology. As result, a set of geographic domains ordered by their relevance is obtained, providing a general concept directly related to the input labels, simulating the way that we perceive cognitively any geographic domain in the real world.
Original languageAmerican English
Pages (from-to)115-133
Number of pages101
JournalComputers in Human Behavior
DOIs
StatePublished - 1 Jun 2016

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Semantics
Ontology
Labels
Uncertainty
Databases
Satellites
Antennas
Processing
Qualitative Spatial Reasoning
Methodology

Cite this

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title = "Qualitative spatial reasoning methodology to determine the particular domain of a set of geographic objects",
abstract = "{\circledC} 2016 Published by Elsevier Ltd. Nowadays, there are many geospatial information from different sources such as satellite images, aerial photographs, maps, databases and others. They provide a comprehensive description of geographic objects. However, the task to identify the geographic domain is not an easy task, because it involves a semantic processing related to inference approaches that are based on the conceptualization of a domain. These approaches allow us to understand in a similar way that human beings recognize the geographic entities and help us to avoid vagueness and uncertainty. In this paper, a methodology to perform a qualitative spatial reasoning in geospatial representations is proposed. It is based on a priori knowledge, which is explicitly formalized by means of an application ontology. The knowledge described in the ontology is assessed according to a set of labels, belonging to any geographical domain for semantic analysis and mapping those labels to matching concepts defined in the ontology. As result, a set of geographic domains ordered by their relevance is obtained, providing a general concept directly related to the input labels, simulating the way that we perceive cognitively any geographic domain in the real world.",
author = "Miguel Torres and Eduardo Loza and Wadee Al-Halabi and Giovanni Guzman and Rolando Quintero and Marco Moreno-Ibarra",
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AU - Torres, Miguel

AU - Loza, Eduardo

AU - Al-Halabi, Wadee

AU - Guzman, Giovanni

AU - Quintero, Rolando

AU - Moreno-Ibarra, Marco

PY - 2016/6/1

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N2 - © 2016 Published by Elsevier Ltd. Nowadays, there are many geospatial information from different sources such as satellite images, aerial photographs, maps, databases and others. They provide a comprehensive description of geographic objects. However, the task to identify the geographic domain is not an easy task, because it involves a semantic processing related to inference approaches that are based on the conceptualization of a domain. These approaches allow us to understand in a similar way that human beings recognize the geographic entities and help us to avoid vagueness and uncertainty. In this paper, a methodology to perform a qualitative spatial reasoning in geospatial representations is proposed. It is based on a priori knowledge, which is explicitly formalized by means of an application ontology. The knowledge described in the ontology is assessed according to a set of labels, belonging to any geographical domain for semantic analysis and mapping those labels to matching concepts defined in the ontology. As result, a set of geographic domains ordered by their relevance is obtained, providing a general concept directly related to the input labels, simulating the way that we perceive cognitively any geographic domain in the real world.

AB - © 2016 Published by Elsevier Ltd. Nowadays, there are many geospatial information from different sources such as satellite images, aerial photographs, maps, databases and others. They provide a comprehensive description of geographic objects. However, the task to identify the geographic domain is not an easy task, because it involves a semantic processing related to inference approaches that are based on the conceptualization of a domain. These approaches allow us to understand in a similar way that human beings recognize the geographic entities and help us to avoid vagueness and uncertainty. In this paper, a methodology to perform a qualitative spatial reasoning in geospatial representations is proposed. It is based on a priori knowledge, which is explicitly formalized by means of an application ontology. The knowledge described in the ontology is assessed according to a set of labels, belonging to any geographical domain for semantic analysis and mapping those labels to matching concepts defined in the ontology. As result, a set of geographic domains ordered by their relevance is obtained, providing a general concept directly related to the input labels, simulating the way that we perceive cognitively any geographic domain in the real world.

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