Hunting for Inconsistencies in Multilingual DBpedia with QAKiS

QAKiS, a system for open domain Question Answering over linked data, allows to query DBpedia multilingual chapters with natural language questions. But since such chapters can contain different information w.r.t. the English version (e.g., more specificity on certain topics, or ll information gaps), i) different results can be obtained for the same query, and ii) the combination of these query results may lead to inconsistent information about the same topic. To reconcile information obtained by distributed SPARQL endpoints, an argumentation-based module is integrated into QAKiS to reason over inconsistent information sets, and to provide a unique and motivated answer to the user.