根据信息资源所具有的领域知识含义,进行语义融合从而支持高级别推理在信息融合中尤为重要。通过对态势估计的形式化描述,提出了基于Ontology的态势估计研究方法,利用本体的扩展使得态势信息更富有语义,从而提高推理阶段的效率。讨论了用于促进异构数据和信息源进行信息融合以支持态势估计融合处理的本体的角色问题以及相关构建方法,为高层信息融合研究提供了新的思路及有益的理论参考。
The techniques being developed for data fusion and resource management in situation assessment are becoming increasingly more sophisticated. Semantic fusion in order to support high-level reasoning in the data fusion is particularly important. Ontology fra- mework for situation assessment according to the formal description is presented. An explanation of the meaning of ontology is provided, which makes more semantic information to improve the efficiency of the reasoning stage, and the role of ontology is discassed to facilitate information fusion from heterogeneous data and knowledge sources in support of high-level information fusion processes, and methodological approach of Ontology. For the high-level information fusion research has provided new ideas and useful theory of reference.