DocumentCode
2770120
Title
Mining Textual Data to Boost Information Access in OSINT
Author
Neri, Federico ; Geraci, Paolo
Author_Institution
Semantic Intell., Synthema, Pisa, Italy
fYear
2009
fDate
15-17 July 2009
Firstpage
427
Lastpage
432
Abstract
The revolution in information technology is making open sources more accessible, ubiquitous, and valuable. The International Intelligence Communities have seen open sources grow increasingly easier and cheaper to acquire in recent years. Up to 80% of electronic data is textual and most valuable information is often encoded in pages which are neither structured, nor classified. The process of accessing all these raw data, heterogeneous for language used, and transforming them into information is therefore inextricably linked to the concepts of textual analysis and synthesis, hinging greatly on the ability to master the problems of multilinguality. This paper describes SYNTHEMA SPYWatch, a content enabling system for OSINT,which has been adopted by some Intelligence operative structures in Italy to support the collection,processing, exploitation, production, dissemination and evaluation cycle. By this system, operative officers can get an overview of great volumes of textual data,which helps them discover meaningful similarities among documents and find all related information.
Keywords
data mining; public domain software; text analysis; ubiquitous computing; OSINT; SYNTHEMA SPYWatch; electronic data; information access; information technology; textual analysis; textual data mining; ubiquitous computing; Data mining; Databases; Information analysis; Information retrieval; Information systems; Information technology; Intelligent structures; Internet; Natural languages; Robustness; OSINT; Text Mining; functional analysis; machine translation; morpho-syntactic analysis; semantic analysis; supervised clustering; unsupervised clustering;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualisation, 2009 13th International Conference
Conference_Location
Barcelona
ISSN
1550-6037
Print_ISBN
978-0-7695-3733-7
Type
conf
DOI
10.1109/IV.2009.99
Filename
5190856
Link To Document