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

Uthayasanker Thayasivam, Prashant Doshi
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引用次数: 5

Abstract

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.
论WordNet对本体对齐的效用:它真的值得吗?
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。在对齐中使用WN的优势是显而易见的。然而,我们发出了更谨慎的警告。我们分析了WN在使用它所带来的精度降低和执行时间增加的背景下的效用。对于这个分析,我们特别关注现实世界的本体。我们报告了与仅使用语法匹配的对齐相比,基于wn的对齐在性能上的明显趋势。我们分析了趋势及其含义,并提供了关于本体对类型的有用见解,其中基于wn的对齐可能有价值,而那些类型可能没有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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