资 源 简 介
reasoning-based, interactive approach to support
the revision of ontologies that are considered for reuse in a new application scenario. In the presented approach, the evaluation
decisions taken by a human expert are propagated in order to automatically evaluate axioms and thereby
reducing the number of axioms that have to be manually evaluated. We show that our method significantly reduces the
manual effort in a scenario where the data comes from many different
sources. Additionally, we propose two ranking techniques to further
increase the effectiveness of ontology revision and provide an
extensive evaluation in terms of effort reduction and computation time
with encouraging results.
