Abstract
Collections of documents are sets of heterogeneous documents, like a specific ancient book series, having proper
structural and semantic properties linking them. A particular collection contains document images with specific
physical layouts, like text pages or full-page illustrations, appearing in a specific order. Its contents, like journal
articles, may be shared by several pages, not necessary following, producing strong dependencies between pages
interpretations. In order to build an analysis system which can bring contextual information from the collection
to the appropriate recognition modules for each page, we propose to express the structural and the semantic
properties of a collection with a definite clause grammar. This is made possible by representing collections as
streams of document images, and by using extensions to the formalism we present here. We are then able to
automatically generate a parser dedicated to a collection. Beside allowing structural variations and complex
information flows, we also show that this approach enables the design of analysis stages, on a document or
a set of documents. The interest of context usage is illustrated with several examples and their appropriate
formalization in this framework.
