Imposing a semantic schema for the detection of potential mistakes in knowledge resources

Nowadays, there is a pressing need for very accurate, up-to-date and diversity-aware knowledge resources. As their maintenance is very expensive, we argue that the only affordable way to address this is by complementing automatic with manual checks. This paper presents an approach, based on the notion of semantic schema, which aims to minimize human intervention as it allows the automatic identification of potentially faulty parts of a knowledge resource which need manual checks. Our evaluation showed promising results.