A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Generating summaries from event data
Information Processing and Management: an International Journal - Special issue: summarizing text
Speeding up inferences using relevance reasoning: a formalism and algorithms
Artificial Intelligence - Special issue on relevance
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Using Natural-Language Processing to Produce Weather Forecasts
IEEE Expert: Intelligent Systems and Their Applications
Generating English summaries of time series data using the Gricean maxims
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Bilingual generation of weather forecasts in an operations environment
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Synthesizing weather forecasts from formated data
COLING '86 Proceedings of the 11th coference on Computational linguistics
A presentation model for multimedia summaries of behavior
Proceedings of the 13th international conference on Intelligent user interfaces
Expert Systems with Applications: An International Journal
Generating adaptive presentations of hydrologic behavior
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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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.