From Fulltext Documents to Structured Citations: CERN's automated Solution

For many years, CERN has been collecting all High Energy Physics documents to make them easy to access to physics researchers. A repository of up to 170,000 electronic documents is available via the CERN Document Server [1], the main gateway to CERN's digital library. On top of the creation of this digital archive, the computing support has been looking towards possible improvements in order to ease the task of searching through and reading the articles kept. In addition to the acquisition, cataloguing and indexing of standard metadata, specific treatments have been applied to the data itself. In this paper, after a brief description of process applied to fulltext data, we shall focus on the specific work done within a collaboration between CERN, Geneva University and the University of Sunderland in order to successfully achieve the automated acquisition of structured citations from fulltext documents.