Simulating Data Journalism to Communicate Hydrological Information from Sensor Networks

Molina, Martin (2012). Simulating Data Journalism to Communicate Hydrological Information from Sensor Networks. En: "13th Ibero-American Conference on Artificial Intelligence", November 13-16, 2012.

Descripción

Título: Simulating Data Journalism to Communicate Hydrological Information from Sensor Networks
Autor/es:
  • Molina, Martin
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 13th Ibero-American Conference on Artificial Intelligence
Fechas del Evento: November 13-16, 2012
Título del Libro: Lecture Notes in Artificial Intelligence
Fecha: 2012
Volumen: 7637
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Ninguna

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Resumen

Presenting relevant information via web-based user friendly interfac- es makes the information more accessible to the general public. This is especial- ly 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 sus- tainable practices. In this paper, I suggest an approach to communicating this information to wide audiences based on simulating data journalism using artifi- cial 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 gen- eral 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.

Más información

ID de Registro: 14199
Identificador DC: http://oa.upm.es/14199/
Identificador OAI: oai:oa.upm.es:14199
Depositado por: Martin Molina
Depositado el: 20 Dic 2012 08:45
Ultima Modificación: 21 Abr 2016 13:44
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