Intelligent Data Engineering and Automated Learning – IDEAL 2018 | Zendy

Hujun Yin | Zendy; David Camacho | Zendy; Paulo Nováis | Zendy; Antonio J. TallónBallesteros | Zendy

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Intelligent Data Engineering and Automated Learning – IDEAL 2018

Author(s) -

Hujun Yin,

David Camacho,

Paulo Nováis,

Antonio J. TallónBallesteros

Publication year - 2018

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

DOI - 10.1007/978-3-030-03496-2

Subject(s) - computer science , ideal (ethics) , artificial intelligence , software engineering , epistemology , philosophy

Social networks (SNs) are currently the main medium through which terrorist organisations reach out to vulnerable people with the objective of radicalizing and recruiting them to commit violent acts of terrorism. Fortunately, radicalization on social networks has warning signals and indicators that can be detected at the early stages of the radicalization process. In this paper, we explore the use of the semantic web and domain ontologies to automatically mine the radicalisation indicators from messages and posts on social networks.

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