An Ontology-Based Approach for Mining Radicalization Indicators from Online Messages

Abir Masmoudi 1 Mahmoud Barhamgi 2 Noura Faci 2 Zohra Saoud 2 Khalid Belhajjame 3 Djamal Benslimane 2 David Camacho 4
1 LIUM - Laboratoire d'Informatique de l'Université du Mans
2 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 LSR - IMAG - Laboratoire Logiciels Systèmes Réseaux
4 UAM - Universidad Autonoma de Madrid
Document type :
Conference papers
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https://hal.archives-ouvertes.fr/hal-01878010
Contributor : Mahmoud Barhamgi <>
Submitted on : Thursday, September 20, 2018 - 3:41:03 PM
Last modification on : Sunday, January 20, 2019 - 9:03:09 AM

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IMAG | UNIV-LEMANS | EC-LYON | UGA | LIUM | UNIV-LYON1 | INSA-LYON | LIRIS | UNIV-LYON2 | INSA-GROUPE | LABEXIMU

Citation

Abir Masmoudi, Mahmoud Barhamgi, Noura Faci, Zohra Saoud, Khalid Belhajjame, et al.. An Ontology-Based Approach for Mining Radicalization Indicators from Online Messages. 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), May 2018, Krakow, Poland. pp.609-616, ⟨10.1109/AINA.2018.00094⟩. ⟨hal-01878010⟩

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