Modelling the logical structure of books and journals using augmented transition network grammars

This paper presents a grammar for books and journals using augmented transition networks in automated document analysis. The approach takes the structure of layout elements in books and journals to be part of a semiotic system, which therefore can be described using methods developed for the description of other semiotic systems, e.g. languages. It differs from previous research in the domain of document analysis and understanding as it deals in an exhaustive way with rather generic classes of multi-page printed objects, i.e. books (monographs) and journals. To achieve this aim, abstract relations instead of document specific formatting rules are taken into account.