本文提出利用“多匹配策略”(Multi-matching Strategy)来寻找语义相似的实体对，在此基础上，根据XPath语言(XML Path language)，给出了一个在XML数据源和其局部本体图(Ontology
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该方法将信息模型转换为本体后，通过动态适应的多策略本体匹配得到映射结果。
After translating from information model to ontology, mapping results were generated by the dynamic adaptive multi-strategy ontology matching.
其次，本文提出一种基于双匹配度的多光谱图像融合策略。
Secondly, a multi-spectral image fusion scheme based on double-match is presented in this thesis.
本文是基于多策略的本体匹配的研究，主要采用了学习策略实现本体匹配。
In this paper, learning has been adopted in the realization of ontology matching.
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