Memorias de investigación
Ponencias en congresos:
Generating text descriptions for geographically distributed sensors
Año:2011

Áreas de investigación
  • Ciencias de la computación y tecnología informática,
  • Ingenieria civil

Datos
Descripción
Sensor networks, with thousands of geographically distributed sensors and different types of quantitative measures, need software tools to help users understand the meaning of measures. In this paper we pay attention to the problem of automatic generation of geographic descriptions in natural language for geographically distributed sensors. We describe this problem in the context of a web application in the domain of hydrology which is part of a more complex multimedia presentation system that combines text and graphics. We describe the web application and the algorithm that we designed to generate the geographic descriptions for sensors. Besides GIS data files, our method uses two information sources: an online server for geographic names (Geonames) and a specific knowledge base with text patterns that we constructed to process sensor identifiers. The evaluation results confirm that online geographic information resources such as Geonames are useful to generate names for sensors but they need to be combined with other more specific information sources (such as our knowledge base) to obtain good descriptions. We also compare our method with related work and show future lines of work.
Internacional
Si
Nombre congreso
International Conference Applied Computing 2011
Tipo de participación
960
Lugar del congreso
Río de Janeiro, Brasil
Revisores
Si
ISBN o ISSN
978-989-8533-06-7
DOI
Fecha inicio congreso
06/11/2011
Fecha fin congreso
08/11/2011
Desde la página
257
Hasta la página
264
Título de las actas
Proceedings International Conference Applied Computing 2011

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Hidroinformática y Gestión del Agua
  • Departamento: Inteligencia Artificial