  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.
