A Methodology for File Relationship Discovery

Author

Ondrejcek, Michal ; Kastner, Jason ; Kooper, Rob ; Bajcsy, Peter

Author_Institution

Nat. Center for Supercomput. Applic., Univ. of Illinois, Urbana, IL, USA

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

193

Lastpage

200

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 handling; records management; 2D image drawings; CAD model; contextual relationship; electronic records; engineering drawings; file content analysis; file relationship discovery; file system; metadata extraction; software category; Application software; Character recognition; Data mining; Design methodology; Electronic equipment testing; Engineering drawings; File systems; Marine vehicles; Optical character recognition software; Storage automation; Data conversion; Data processing; Optical character recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Science, 2009. e-Science '09. Fifth IEEE International Conference on

Conference_Location

Oxford

Print_ISBN

978-0-7695-3877-8

Type

conf

DOI

10.1109/e-Science.2009.35

Filename

5380868