Thematic indicators derived from world news reports
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Co-occurrence and ranking of entities based on semantic annotation
International Journal of Metadata, Semantics and Ontologies
Extracting violent events from on-line news for ontology population
BIS'07 Proceedings of the 10th international conference on Business information systems
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An automatic news tracking and analysis system which records world events over long time periods is described. It allows to track country specific news, the activities of individual persons and groups, to derive trends, and to provide data for further analysis and research. The data source is the Europe Media Monitor (EMM) which monitors news from around the world in real time via the Internet and from various News Agencies. EMM’s main purpose is to provide rapid feedback of press coverage and breaking news for European Policy Makers. Increasingly, however it is being used for security applications and for foreign policy monitoring. This paper describes how language technologies and clustering techniques have been applied to the 30,000 daily news reports to derive the top stories in each of 13 languages, to locate events geospatially, and to extract and record entities involved. Related stories have been linked across time and across languages, allowing for national comparisons and to derive name variants. Results and future plans are described.