On Expert Behaviors and Question Types for Efficient Query-Based Ontology Fault Localization
This work addresses efficiency issues in ontology debugging for experts, though it appears incremental as it builds on existing query-based methods.
The paper tackled the inefficiency and unrealistic assumptions in query-based ontology fault localization by proposing a simpler interaction approach, which reduced expert interactions in 66% of cases and cut waiting time by at least 80% in experiments on real-world ontologies.
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.