SciELO - Scientific Electronic Library Online

 
 issue45Comparing Sanskrit Texts for Critical Editions: The Sequences Move ProblemTracking Emotions of Bloggers: A Case Study for Bengali author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Polibits

On-line version ISSN 1870-9044

Abstract

LOZA-PACHECO, Eduardo; TORRES-RUIZ, Miguel  and  GUZMAN-LUGO, Giovanni. Spatial Reasoning for Determining the Domain of the Set of Tags that Represent Geographic Objects. Polibits [online]. 2012, n.45, pp.37-52. ISSN 1870-9044.

Nowadays, there is much geospatial information from different sources such as satellite images, aerial photographs, maps, databases, and so on. It provides a comprehensive description of geographic objects. However, the task to identify the geographic domain to which it belongs is not simple, because this task involves semantic processing based on a conceptualization of a domain. It allows us to understand information in a way similar to how humans recognize the geographic entities and avoid vagueness. We propose a method for qualitative spatial reasoning in geospatial representations. The method is based on a priori knowledge, which is explicitly formalized through an ontology. The knowledge described in the ontology is assessed according to a set of tags that belong to any geographical domain for semantic analysis, to map those tags to concepts defined in the ontology. As a result, a set of geographic domains in order of relevance is obtained, for providing a general concept directly related to the input tags, simulating the way in which humans cognitively perceive a geographic domain in the real world.

Keywords : Computational and Artificial Intelligence; Intelligent Systems; Knowledge Acquisition; Knowledge Representation.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License