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Research of Ontology Merging Based on Concept Similarity

机译:基于概念相似性的本体合并研究

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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 WordNet, 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的语义相似性的本体合并的详细解决方案,为传统的手动方法提供了本体合并的新思路。首先,分析了与源本体进行转换的正式上下文。然后,根据Wordnet中每个概念的图形结构,计算概念之间的隐式语义相似性。最后,生成目标合并本体。

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