Observatorio de I+D+i UPM

Memorias de investigación
Capítulo de libro:
Towntology & hydrOntology: Relationship between Urban and Hydrographic Features in the Geographic Information Domain
Áreas de investigación
  • Inteligencia artificial
The development of Ontological Engineering is a key matter in the solution of current problems related to GI access and in distributed search in different cartographic organizations. For that reason, the definition of an ontological framework in the achievement of an easy accessibility and common structure of data becomes necessary. That means to provide a certain structure of names, codes, attributes and other associated represented characteristics being responsible for defining the real world. Thus, in order to give an answer to Society, these interrelated ontological frameworks (hydrOntology and Towntology) will hopefully improve the structure of the world of classical cartography, computer-assisted GIS (Geographic Information System) and SDI (Spatial Data Infrastructure).With regard to hydrOntology, its purpose is to serve as a harmonization framework among the Spanish cartographic producers, trying to disseminate it internationally, making it available to GI producers. With this ontology we intend to provide the necessary steps to obtain a better organization and management of the hydrological features, which are spread over into the different projects, documents and directives in this field. To this information we should add a great number of catalogues, data dictionaries and so on due to the existence of different producers of GI. Another important characteristic is the different geometrical representation of the same domain (point, line, surface).
Edición del Libro
Editorial del Libro
Springer Berlin / Heidelberg
Título del Libro
Ontologies for Urban Development. Studies in Computational Intelligence
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Esta actividad pertenece a memorias de investigación
  • coautor: Antonio Federi Rodríguez Pascual
  • coautor: Luis Manuel Vilches Blázquez
  • Autor: Asuncion de Maria Gomez Perez (UPM)
  • coautor: Miguel Ángel Bernabé Poveda
  • Autor: M. Carmen Suarez de Figueroa Baonza (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group (LIA). Laboratorio Inteligencia Artificial. Grupo de Ingeniería Ontológica
  • Departamento: Inteligencia Artificial
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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