Multi-level fusion of hard and soft information

Information Fusion(2014)

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摘要
Driven by the underlying need for a yet to be developed framework for fusing heterogeneous data and information at different semantic levels coming from both sensory and human sources, we present some results of the research being conducted within the NATO Research Task Group IST-106/RTG-051 on "Information Filtering and Multi Source Information Fusion". As part of this on-going effort, we discuss here a first outcome of our investigation on multi-level fusion. It deals with removing the first hurdle between data/information sources and processes being at different levels: representation. Our contention here is that a common representation and description framework is the premise for enabling processing overarching different semantic levels. To this end we discuss here the use of the Battle Management Language (BML) as a way ("lingua franca") to encode sensory data, a priori and contextual knowledge, both as hard and soft data.
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关键词
information filtering,military computing,sensor fusion,BML,NATO Research Task Group IST-106,NATO Research Task Group RTG-051,a priori contextual knowledge,battle management language,data sources,hard information fusion,heterogeneous data fusion,information filtering,information sources,lingua franca,multilevel fusion,multisource information fusion,semantic levels,sensory data encoding,soft information fusion,Battle Management Language,controlled languages,hard and soft fusion,multi-level fusion,uncertainty representation/harmonization
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