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文章基本信息

  • 标题:Generación de resúmenes de comportamiento de un sistema medioambiental a partir de información no-textual
  • 本地全文:下载
  • 作者:Víctor Manuel Flores Fonseca
  • 期刊名称:Inteligencia Artificial : Ibero-American Journal of Artificial Intelligence
  • 印刷版ISSN:1137-3601
  • 电子版ISSN:1988-3064
  • 出版年度:2012
  • 卷号:15
  • 期号:49
  • 出版社:Spanish Association for Intelligence Artificial
  • 摘要:This article describes a knowledge-based method for generating multimedia descriptions that summarize the behavior of dynamic systems. The method has been designed to use by users who monitor the behavior of a dynamic system with the help of sensor networks and make decisions according to prefixed management goals. This method generates presentations using different modes such as text in natural language, 2D graphics, etc. The method uses a qualitative representation of the dynamic system based on hierarchies of components and causal influences. The method includes an abstraction generator that uses the system representation to find and aggregate relevant data at an appropriate level of abstraction. Also, the method includes a hierarchical planner to generate presentations using a model with discourse patterns. The method has been validated on hydrological domain and evaluated its practical utility by developing several models for an application that worked in continuous real time operation for more than one year, summarizing sensor data of a national hydrologic information system in Spain.
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