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Open Source Data Collection Techniques for Weapons Transfer Information

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Author
Krenson, Frederick C. Jr.
Date
2012-03
Advisor
Rowe, Neil C.
Second Reader
Young, Joel D.
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Abstract
Monitoring weapons proliferation requires detecting and tracking weapons transfers. Many public sources of weapons-transfer data come from incomplete and manually collected and maintained government and commercial records. We propose a technique to gather weapons-transfer information by mining publicly available Web pages for features, which we categorize as arms, actions, actors, or money. We design a retrieval system and parser, and develop techniques for extracting currency values from text, measuring precision without available training data, and measuring recall with a parallel but different corpus. Results show that, of the sentences matching four feature categories, 70% of relevant features were found, and sentences that only matched three categories introduced more false positives. We conclude that such a technique can improve the speed at which transfer information is compiled.
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http://hdl.handle.net/10945/6819
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