Historical documents are notoriously vulnerable to decay, either physically or because they were created or stored using technology that becomes obsolete. This paper is the advance abstract of a talk given at the 13th ACM Symposium on Document Engineering (DocEng), held in Florence, Italy, in September 2013. The author gives an overview of the work being done at the Knowledge Acquisition and Machine Learning Lab (LACAM) at the University of Bari, Italy. The research focuses on automating the processing of historic material for access through electronic means. The goal is to identify rules that enable the classification and transformation of historical documents so they can be adapted to current technology and kept up to date as the technology evolves.
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