Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Simulating Data Journalism to Communicate Hydrological Information from Sensor Networks
Year:2012
Research Areas
  • Information technology and adata processing,
  • Civil engineering
Information
Abstract
Presenting relevant information via web-based user friendly interfaces makes the information more accessible to the general public. This is especially useful for sensor networks that monitor natural environments. Adequately communicating this type of information helps increase awareness about the limited availability of natural resources and promotes their better use with sustainable practices. In this paper, I suggest an approach to communicating this information to wide audiences based on simulating data journalism using artificial intelligence techniques. I analyze this approach by describing a pioneer knowledge-based system called VSAIH, which looks for news in hydrological data from a national sensor network in Spain and creates news stories that general users can understand. VSAIH integrates artificial intelligence techniques, including a model-based data analyzer and a presentation planner. In the paper, I also describe characteristics of the hydrological national sensor network and the technical solutions applied by VSAIH to simulate data journalism.
International
Si
Congress
IBERAMIA 2012
960
Place
Cartagena de Indias, Colombia
Reviewers
Si
ISBN/ISSN
0302-9743
10.1007/978-3-642-34654-5
Start Date
13/11/2012
End Date
16/11/2012
From page
722
To page
731
Advances in Artificial Intelligence IBERAMIA 2012 (Lecture Notes in Artificial Intelligence 7637)
Participants
  • Autor: Martin Molina Gonzalez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Hidroinformática y Gestión del Agua
  • Departamento: Inteligencia Artificial
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