论文标题
关于高效基于查询的本体故障本地化的专家行为和问题类型
On Expert Behaviors and Question Types for Efficient Query-Based Ontology Fault Localization
论文作者
论文摘要
我们挑战现有的基于查询的本体故障本地化方法WRT。他们做出的假设，优化的标准以及相互作用意味着它们使用。我们发现它们的效率在很大程度上取决于相互作用专家的行为，进行计算的计算效率低下或不精确，并且使用的优化标准通常不完全现实。作为一种补救措施，我们建议一种新颖的（和简单）的相互作用方法，它克服了所有确定的问题，并且在关于错误现实世界本体论的全面实验中，可以成功地进行故障定位，同时需要在66％的案例中进行更少的专家交互，并且与现有方法相比，至少少于80％的专家等待时间。
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.
