Title: Frontex Real-time News Event Extraction Framework
Citation: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining p. 749-752
Publisher: ACM
Publication Year: 2011
JRC N°: JRC66734
ISBN: 978-1-4503-0813-7
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC66734
DOI: 10.1145/2020408.2020527
Type: Articles in periodicals and books
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 Fron- tex, the EU Border Agency, to facilitate the process of ex- tracting 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 con- sist also of an earth browser, in which events are visual- ized 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.
JRC Directorate:Space, Security and Migration

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