Simulating Data Journalism to Communicate Hydrological Information from Sensor Networks

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

Description

Title: Simulating Data Journalism to Communicate Hydrological Information from Sensor Networks
Author/s:
  • Molina, Martin
Item Type: Presentation at Congress or Conference (Article)
Event Title: 13th Ibero-American Conference on Artificial Intelligence
Event Dates: November 13-16, 2012
Title of Book: Lecture Notes in Artificial Intelligence
Date: 2012
Volume: 7637
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: None

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Abstract

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.

More information

Item ID: 14199
DC Identifier: http://oa.upm.es/14199/
OAI Identifier: oai:oa.upm.es:14199
Deposited by: Martin Molina
Deposited on: 20 Dec 2012 08:45
Last Modified: 21 Apr 2016 13:44
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