Document Classification and Interpretation through the Inference of Logic-Based Models

We present a methodology for document processing that exploits logic-based machine learning techniques. Our claim is that information capture and indexing can profit by the identification of the document class and of specific function of its single layout components. Indeed, the application of incremental and multistrategy machine learning techniques, rather than the classic ones, allows for an efficient solution to the problem of information capture.