Contributo in atti di convegno, 2012, ENG, 10.1145/2396761.2398446
Coscia M., Rios V.
CNR-ISTI, Pisa; Harvard University, Cambridge, MA, USA
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 tracking 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 eciently extract implicit knowledge about criminal organizations. In the scenario of Mexican drug tracking, our ndings provide evidence that criminal organizations are more strategic and operate in more dierentiated ways than current academic literature thought.
The 21st ACM International Conference on Information and Knowledge Management, pp. 1412–1421, Maui, Hawaii, USA, October 29-November 2 2012
Query, Data retrieval, Knowledge discovery process
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 276136
Year: 2012
Type: Contributo in atti di convegno
Creation: 2014-01-09 15:24:48.000
Last update: 2015-02-23 12:46:13.000
CNR authors
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:276136
DOI: 10.1145/2396761.2398446
Scopus: 2-s2.0-84871081648
PUMA: 2012-A2-091