Extracting knowledge from U.S. department of defense freedom of information act requests with social media
Government Information QuarterlyPublished 6 March 2012
Andrew Whitmore
Citations13
SJR quartileQ1
SJR score2.86
SNIP3.20
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TL;DR
Using the Office of the Secretary of Defense/Joint Staff Freedom of Information Act Logs for 2007–2009, this research identifies a process for finding relationships between the FOIA requests through keywords extracted from Wikipedia and a technique for visualizing these relationships in order to improve understanding when working with born-digital government data.
Abstract
Abstract The Freedom of Information Act (FOIA) has facilitated the release of large amounts of government information that has been of great value to researchers, journalists, and other interested parties. The fraction of this information released in electronic format has been growing as has its volume. While offering great potential for research, large amounts of data disgorged from government information systems can pose challenges to human interpretation and knowledge extraction. Using the Office of the Secretary of Defense/Joint Staff Freedom of Information Act (FOIA) Logs for 2007–2009, this research identifies (1) a process for finding relationships between the FOIA requests through keywords extracted from Wikipedia and (2) a technique for visualizing these relationships in order to provide context and improve understanding when working with born-digital government data.
Keywords
Computer ScienceDecision Sciences
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