@inproceedings{edb3cd5db7e9476e8d898853cab257d0,
title = "A methodology for file relationship discovery",
abstract = "This paper addresses the problem of discovering temporal and contextual relationships across document, data, and software categories of electronic records. We designed a methodology to discover unknown relationships by conducting file system and file content analyses. The work also investigates automation of metadata extraction from engineering drawings and storage requirements for metadata extraction. The methodology has been applied to extracting information from a test collection of electronic records about the NAVY ship (TWR 841) archived by the US National Archive (NARA). This test collection represents a problem of unknown relationships among files that include 784 2D image drawings and 22 CAD models.",
keywords = "Data conversion, Data processing, Optical character recognition",
author = "Michal Ondrejcek and Jason Kastner and Rob Kooper and Peter Bajcsy",
year = "2009",
doi = "10.1109/e-Science.2009.35",
language = "English (US)",
isbn = "9780769538778",
series = "e-Science 2009 - 5th IEEE International Conference on e-Science",
pages = "193--200",
booktitle = "e-Science 2009 - 5th IEEE International Conference on e-Science",
note = "5th IEEE International Conference on e-Science, e-Science 2009 ; Conference date: 09-12-2009 Through 11-12-2009",
}