2020/01/16 by Patrick Rodler, Rodler, Patrick
Computer Science · Decision Sciences · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Data Quality and Management #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Logic in Computer Science (cs.LO) #Performance (cs.PF) #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services
paper · pdf · doi:10.48550/arxiv.2001.05952
openalex publication_date 2020/01/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We challenge existing query-based ontology fault localization methods wrt.\nassumptions they make, criteria they optimize, and interaction means they use.\nWe find that their efficiency depends largely on the behavior of the\ninteracting expert, that performed calculations can be inefficient or\nimprecise, and that used optimization criteria are often not fully realistic.\nAs a remedy, we suggest a novel (and simpler) interaction approach which\novercomes all identified problems and, in comprehensive experiments on faulty\nreal-world ontologies, enables a successful fault localization while requiring\nfewer expert interactions in 66 % of the cases, and always at least 80 % less\nexpert waiting time, compared to existing methods.\n