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On the Utility of WordNet for Ontology Alignment: Is it Really Worth it?

机译:关于WordNet用于本体对齐的实用程序:真的值得吗?

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Many ontology alignment algorithms augment syntactic matching with the use of WordNet (WN) in order to improve their performance. The advantage of using WN in alignment seems apparent. However, we strike a more cautionary note. We analyze the utility of WN in the context of the reduction in precision and increase in execution time that its use entails. For this analysis, we particularly focus on real-world ontologies. We report distinct trends in the performance of WN-based alignment in comparison with alignment that uses syntactic matching only. We analyze the trends and their implications, and provide useful insights on the types of ontology pair for which WN-based alignment may potentially be worthwhile and those types where it may not be.
机译:许多本体对齐算法通过使用WordNet(WN)来增强语法匹配,以提高其性能。对齐使用WN的优点似乎很明显。但是,我们要提一个更加谨慎的提示。我们在使用WN会降低精度和增加执行时间的情况下分析WN的效用。对于此分析,我们特别关注现实世界的本体。与仅使用句法匹配的对齐方式相比,我们报告了基于WN的对齐方式性能的不同趋势。我们分析了趋势及其影响,并就基于WN的对齐方式可能值得的本体对的类型以及可能不值得的本体对的类型提供了有用的见解。

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