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Research of Ontology Merging Based on Concept Similarity

机译:基于概念相似度的本体合并研究

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This paper describes the detailed solutions of ontology merging based on semantic similarity between concepts, and provides a new idea of ontology merging for traditional manual method. Firstly, the formal context converted with the source ontology is analyzed. Then, according to the graph structure of each concept in Word Net, the implicit semantic similarity between concepts is computed. Finally, the target merging ontology is generated.
机译:本文介绍了基于概念之间语义相似度的本体合并的详细解决方案,并为传统的手工方法提供了本体合并的新思路。首先,分析了由源本体转换而来的形式上下文。然后,根据Word Net中每个概念的图结构,计算概念之间的隐式语义相似度。最后,生成目标合并本体。

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