Inferring the evolution of ontology axioms from RDF data dynamics
Fatiha Saïs, Cédric Pruski, Marcos Da Silveira · 2017
One intrinsic characteristic of knowledge bases (KB), especially those published on the Web of data, is the frequent evolution of their data. Hence, changes that occur may lead to KB inconsistency and therefore, may generate contradictions between the KB facts and the KB axioms. In this paper, we propose an approach that is able to, first, compute and semantically represent the symmetric difference (diff) between two different versions of a KB and, second, use the generated diff to detect changes (addition and deletion) for the corresponding KB axioms. We further propose an experimental assessment of the approach on exisitng knowledge bases such as DBpedia.