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CALCULATION OF SEMANTIC CONTRIBUTION DEGREE FOR CONCEPT MAPPING IN DIFFERENT ONTOLOGIES

机译:不同本体中概念映射语义贡献度的计算

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摘要

Concept mapping in different ontologies is the process of finding correlation degree of concepts. It's the data foundation of realizing semantic Web technically that building relationship between concepts. There are now many reaches about ontology mappings. Most of these methods are finding similarity degree from different facets of the concepts, and then integrating these results. Some others are based on reason. For calculating the weight number distribution quantitatively, we proposed the definition of semantic contribution and how to calculate it. It improved the precision degree and the recall degree of concepts mapping between ontologies from the experimental results listed at the end of this paper.
机译:不同本体中的概念映射是找到概念相关程度的过程。这是在技术上实现语义网络的数据基础,建立概念之间的关系。现在有很多关于本体映射的达到。这些方法中的大多数是从概念的不同方面找到相似度,然后集成这些结果。其他一些是基于原因的。为了定量计算重量数分布,我们提出了语义贡献的定义以及如何计算它。它从本文末尾列出的实验结果中提高了本体中本体之间映射的精度度和召回程度。

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