Traitements Automatiques pour la Migration de Documents Numériques vers XML

More and more companies are migrating their legacy document management sys- tems toward XML format, the industrial standard for data exchange. In order to reduce the migration cost we propose an approach aimed at automating the conversion of layout-oriented documents to semantic-oriented annotations. The conversion module uses supervised machine learning techniques to learn a conversion model for a collection of documents. The conver- sion is achieved through a semantic annotation of the document content and structuring the annotations, accordingly to a XML schema that specify the class of target documents.