Paper Info
Title
Frontex real-time news event extraction framework
Abstract
An ever-growing amount of information relevant for early detection of certain threats can be extracted from on-line news. This led to an emergence of news mining tools to help analysts to digest the overflow of information and to extract valuable knowledge from on line news sources. This paper gives an overview of the fully operational Real-time News Event Extraction Framework developed for Frontex, the EU Border Agency, to facilitate the process of extracting structured information on border security-related events from on-line news. In particular, a hybrid event extraction system has been constructed, which is applied to the stream of news articles continuously gathered and pre-processed by the Europe Media Monitor - a large-scale multilingual news aggregation engine. The framework consists also of an earth browser, in which events are visualized and an event moderation tool, which allows to access the database of automatically extracted event descriptions and to clean, validate, group, enhance and export them into other knowledge repositories.
Year
DOI
Venue
2011
10.1145/2020408.2020527
KDD
Keywords
Field
DocType
extraction framework,frontex real-time news event,large-scale multilingual news aggregation,news mining tool,event description,hybrid event extraction system,on-line news,news article,structured information,border security-related event,line news source,event moderation tool,visualization,real time
Early detection,Data mining,World Wide Web,News aggregator,Information retrieval,Visualization,Computer science,Europe media monitor
Conference
Citations 
PageRank 
References 
3
0.43
7
Authors
2
Name
Order
Citations
PageRank
Jakub Piskorski143550.04
Martin Atkinson215713.85