Automatic knowledge acquisition for spatial document interpretation
Hanno Walischewski · 2002
In this paper, a qualitative representation for the layout of structured documents as well as classes of documents is presented, which is established by means of supervised learning from a labeled training set of documents. For this formal representation, an inference algorithm has been developed, adopted from error-tolerant subgraph isomorphism, which assigns logic labels to the layout objects of a test document.