In this paper we focus on the problem of automatic inferring of an XML schema for a given sample set of XML documents. Contrary to existing approaches we propose an algorithm that exploits additional input information - an incorrect XML schema.
Consequently, we are able to exploit the information which was correct once and to infer the schema more efficiently.