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The Efficacy of OWL and DL on User Understanding of Axioms and Their Entailments

机译:OWL和DL对用户理解公理及其蕴涵的有效性

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摘要

OWL is recognized as the de facto standard notation for on- tology engineering. The Manchester OWL Syntax (MOS) was developed as an alternative to symbolic description  logic (DL) and it is believed to be more eective for users. This paper sets out to test that belief from two perspectives by evaluating how accurately and quickly people understand the informational content of axioms and derive inferences from them. By conducting a between-group empirical study, involving 60 novice participants, we found that DL is just as eective as MOS for people's understanding of axioms. Moreover, for two types of inference problems, DL supported signi cantly better task performance than MOS, yet MOS never signi cantly outperformed DL. These surprising results suggest that the belief that MOS is more eective than DL, at least for these types of task, is unfounded. An outcome of this research is the suggestion that ontology axioms, when presented to non experts, may be better presented in DL rather than MOS. Further empirical studies are needed to explain these unexpected results and to see whether they hold for other types of task.
机译:猫头鹰被认为是关于本地工程的事实标准符号。曼彻斯特猫头鹰语法(MOS)是作为象征性描述逻辑(DL)的替代方案,并且据信对用户更加电。本文列出了通过评估人们了解了两种观点来测试这一信念,以便有多么准确,人们了解公理的信息含量并从中获得推断。通过在涉及60名新手参与者的小组之间进行,我们发现DL与MOS为人们对公理的理解时,DL与MOS一样。此外,对于两种类型的推理问题,DL支持的Signi显着更好的任务性能而不是MOS,但MOS永远不会显着优于DL。这些令人惊讶的结果表明,至少对于这些类型的任务来说,MOS比DL更高的信念是毫无根据的。该研究的结果是当呈现给非专家时的本体公理结构可能更好地呈现在DL而不是MOS中。需要进一步的实证研究来解释这些意想不到的结果,并查看它们是否适用于其他类型的任务。

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