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AIMSA
2006
Springer

A Knowledge-Based Approach for Automatic Generation of Summaries of Behavior

13 years 7 months ago
A Knowledge-Based Approach for Automatic Generation of Summaries of Behavior
Effective automatic summarization usually requires simulating asoning such as abstraction or relevance reasoning. In this paper we describe a solution for this type of reasoning in the particular case of surveillance of the behavior of a dynamic system using sensor data. The paper first presents the approach describing the required type of knowledge with a possible representation. This includes knowledge about the system structure, behavior, interpretation and saliency. Then, the paper shows the inference algorithm to produce a summarization tree based on the exploitation of the physical characteristics of the system. The paper illustrates how the method is used in the context of automatic generation of summaries of behavior in an application for basin surveillance in the presence of river floods.
Martín Molina, Victor Flores
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where AIMSA
Authors Martín Molina, Victor Flores
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