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Mining Technologies for the Security of European Citizens Marie-Francine Moens Department of Computer Science Katholieke Universiteit Leuven, Belgium.

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Presentation on theme: "Mining Technologies for the Security of European Citizens Marie-Francine Moens Department of Computer Science Katholieke Universiteit Leuven, Belgium."— Presentation transcript:

1 Mining Technologies for the Security of European Citizens Marie-Francine Moens Department of Computer Science Katholieke Universiteit Leuven, Belgium

2 23/9/10SRC'102 Status Text mining, natural language understanding, recognition of content in multimedia...: –Opportunities to monitor information Web content Secured information...

3 23/9/10SRC'103 Status –Opportunities to search, mine and fuse information: To discover trends and patterns For decision making, prediction, analysis and intervention

4 23/9/10SRC'104 Examples of applications Protection of citizens for harmful content: –Webpages (e.g., protect children - PuppyIR EU FP7) –Spam and phishing mails (e.g., protect citizens, AntiPhish EU FP6) –False information (e.g., protect customers) –Defamation (e.g., protect companies, individuals) Protection of groups: –Intelligent surveillance (e.g., video surveillance) Wikia.com

5 23/9/10SRC'105 Examples of applications Protection of European companies: –Against industrial espionage, unlawful copying Protection of nations: –Against terrorist groups –Restoring security at moments of crisis: fusion, filtering and generation of information Dit probleem is ondertussen opgelost en je kan de mail opnieuw sturen. Niet alle uitgaande mails zijn geweigerd, het gaat in totaal over 700 mails en je krijgt later een bericht AP / Brynjar Gauti

6 23/9/10SRC'106 Issues Recognition of content: but –Heterogeneous sources, different languages, media –Fraudulent scams cloak content –Fraudulent scams change strategies continuously –Content can be unreliable (credibility) Can you trust it?

7 23/9/10SRC'107 Issues Linking of content: –Interoperability, integration, interconnectability –Linking based on low-level features

8 23/9/10SRC'108 Needs ICT –Robust and reliable extractors (text, speech, images, video...) –Robust and reliable linking technologies (connecting the dots...) Includes also disambiguation –Adaptable to different languages and media with minimum of human intervention –At system level: interoperability

9 23/9/10SRC'109 Response ICT Technologies: –Knowledge methodologies maturing: ontologies, semantics, machine learning, data/text/graph mining, joint classification, alignment,... –Probabilistic models for reasoning –Latent class models for discovering hidden semantics FP7: European Security Research programme: –Develop technologies and knowledge to ensure security of citizens from threats such as terrorism, (organised) crime, natural disasters and industrial accidents


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