Real-world semantic or knowledge-based systems can become large and complex, e.g., in the biomedical domain. tool support for the localization and repair of faults within knowledge bases of such systems can therefore ...
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Real-world semantic or knowledge-based systems can become large and complex, e.g., in the biomedical domain. tool support for the localization and repair of faults within knowledge bases of such systems can therefore be essential for their practical success. Correspondingly, a number of knowledge base debugging approaches, in particular for ontology-based systems, were proposed in recent years. Query-based debugging is a comparably recent interactive approach that localizes the true cause of an observed problem by asking knowledge engineers a series of questions. Concrete implementations of this approach exist, such as the OntoDebug plug-in for the ontology editor Protege. To validate that a newly proposed method is favorable over an existing one, researchers often rely on simulation-based comparisons. Such an evaluation approach however has certain limitations and often cannot fully inform us about a method's true usefulness. We therefore conducted a range of user studies to assess the practical value of query-based ontologydebugging. One main insight from the studies is that the considered interactive approach is indeed more efficient than an alternative algorithmic debugging based on test cases. We also observed that users frequently made errors in the process, which highlights the importance of a careful design of the queries that users need to answer. (C) 2019 Elsevier B.V. All rights reserved.
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