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

Molina, Martin and Flores Fonseca, Víctor Manuel (2006). A Knowledge-based Approach for Automatic Generation of Summaries of Behavior. In: "12th International Conference AIMSA 2006", September 2006, Varna, Bulgaria.

Description

Title: A Knowledge-based Approach for Automatic Generation of Summaries of Behavior
Author/s:
  • Molina, Martin
  • Flores Fonseca, Víctor Manuel
Item Type: Presentation at Congress or Conference (Article)
Event Title: 12th International Conference AIMSA 2006
Event Dates: September 2006
Event Location: Varna, Bulgaria
Title of Book: Artificial Intelligence: Methodology, Systems, and Applications
Date: 2006
Volume: Lectur
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: None

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Abstract

Effective automatic summarization usually requires simulating human reasoning 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.

More information

Item ID: 30611
DC Identifier: http://oa.upm.es/30611/
OAI Identifier: oai:oa.upm.es:30611
Deposited by: Martin Molina
Deposited on: 31 Jul 2014 06:42
Last Modified: 22 Apr 2016 00:53
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