Petar Petrov and Christoph Becker:
Large-scale content profiling for preservation analysis
In: iPRES 2012 – Proceedings of the 9th International Conference on Preservation of Digital Objects. Toronto 2012. ISBN 978-0-9917997-0-1
Abstract
The starting point of any operational endeavor to preserve digital content is gaining a deep understanding of the characteristics of the objects. Systematic analysis of digital object sets and the identification of sample objects that are representative of a collection are critical steps towards preservation operations and a fundamental enabler for successful preservation planning: Without a full understanding of the properties and peculiarities of the content at hand, informed decisions and effective actions cannot be taken. This article presents a software tool prototype that is able to profile large sets of meta data in a scalable fashion and provide deeper insight into the digital collection at hand.
Download: pdf
