We challenge existing query-based ontology fault localization methods wrt. assumptions they make, criteria they optimize, and interaction means they use. We find that their efficiency depends largely on the behavior of the interacting expert, that performed calculations can be inefficient or imprecise, and that used optimization criteria are often not fully realistic. As a remedy, we suggest a novel (and simpler) interaction approach which overcomes all identified problems and, in comprehensive experiments on faulty real-world ontologies, enables a successful fault localization while requiring fewer expert interactions in 66 % of the cases, and always at least 80 % less expert waiting time, compared to existing methods.

中文翻译：

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基于查询的高效本体故障定位的专家行为和问题类型

我们挑战现有的基于查询的本体故障定位方法。他们做出的假设，他们优化的标准，以及他们使用的交互手段。我们发现它们的效率在很大程度上取决于交互专家的行为，执行的计算可能效率低下或不精确，并且使用的优化标准通常不完全现实。作为补救措施，我们提出了一种新颖（且更简单）的交互方法，该方法克服了所有已识别的问题，并且在错误的现实世界本体的综合实验中，能够成功定位故障，同时在 66% 的情况下需要更少的专家交互，并且始终与现有方法相比，专家等待时间至少减少 80%。