3491876
doi
10.1145/3358695.3360896
oai:zenodo.org:3491876
user-eu
Efstratios Kontopoulos
Information Technologies Institute, Centre for Research and Technology Hellas
James Staite
Sheffield Hallam University
Tony Day
Sheffield Hallam University
George Kalpakis
Information Technologies Institute, Centre for Research and Technology Hellas
Theodora Tsikrika
Information Technologies Institute, Centre for Research and Technology Hellas
Helen Gibson
Sheffield Hallam University
Stefanos Vrochidis
Information Technologies Institute, Centre for Research and Technology Hellas
Babak Akhgar
Sheffield Hallam University
Ioannis Kompatsiaris
Information Technologies Institute, Centre for Research and Technology Hellas
Deploying Semantic Web Technologies for Information Fusion of Terrorism-related Content and Threat Detection on the Web
Panagiotis Mitzias
Information Technologies Institute, Centre for Research and Technology Hellas
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Ontology
Semantic Web
Information Fusion
Counterterrorism
<p>The Web and social media nowadays play an increasingly significant role in spreading terrorism-related propaganda and content. In order to deploy counterterrorism measures, authorities rely on automated systems for analysing text, multimedia, and social media content on the Web. However, since each of these systems is an isolated solution, investigators often face the challenge of having to cope with a diverse array of heterogeneous sources and formats that generate vast volumes of data. Semantic Web technologies can alleviate this problem by delivering a toolset of mechanisms for knowledge representation, information fusion, semantic search, and sophisticated analyses of terrorist networks and spatiotemporal information. In the Semantic Web environment, ontologies play a key role by offering a shared, uniform model for semantically integrating information from multimodal heterogeneous sources. An additional benefit is that ontologies can be augmented with powerful tools for semantic enrichment and reasoning. This paper presents such a unified semantic infrastructure for information fusion of terrorism-related content and threat detection on theWeb. The framework is deployed within the TENSOR EU-funded project, and consists of an ontology and an adaptable semantic reasoning mechanism. We strongly believe that, in the short- and long-term, these techniques can greatly assist Law Enforcement Agencies in their investigational operations.</p>
Zenodo
2019-10-16
info:eu-repo/semantics/conferencePaper
3491875
user-eu
Camera ready
award_title=Retrieval and Analysis of Heterogeneous Online Content for Terrorist Activity Recognition; award_number=700024; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/700024; funder_id=00k4n6c32; funder_name=European Commission;
1579533238.407077
336843
md5:2666a12d30c24d2ed407668c4d3fe3a3
https://zenodo.org/records/3491876/files/wi19_sacti19.pdf
public