Abstract
We develop a framework that uses Web content to obtain quantitative information about a phenomenon that would otherwise require the operation of large scale, expensive intelligence exercises. Exploiting indexed reliable sources such as online newspapers and blogs, we use unambiguous query terms to characterize a complex evolving phenomena and solve a security policy problem: identifying the areas of operation and modus operandi of criminal organizations, in particular, Mexican drug trafficking organizations over the last two decades. We validate our methodology by comparing information that is known with certainty with the one we extracted using our framework. We show that our framework is able to use information available on the web to efficiently extract implicit knowledge about criminal organizations. In the scenario of Mexican drug trafficking, our findings provide evidence that criminal organizations are more strategic and operate in more differentiated ways than current academic literature thought.
Original language | English |
---|---|
Title of host publication | CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management |
Pages | 1412-1421 |
Number of pages | 10 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | 21st ACM International Conference on Information and Knowledge Management, CIKM 2012 - Maui, HI, United States Duration: 29 Oct 2012 → 2 Nov 2012 |
Conference
Conference | 21st ACM International Conference on Information and Knowledge Management, CIKM 2012 |
---|---|
Country/Territory | United States |
City | Maui, HI |
Period | 29/10/12 → 2/11/12 |
Keywords
- data retrieval
- knowledge discovery process
- query