Explore the words cloud of the TENSOR project. It provides you a very rough idea of what is the project "TENSOR" about.
The following table provides information about the project.
Coordinator |
Police Service of Northern Ireland
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Project website | https://tensor-project.eu/ |
Total cost | 5˙579˙893 € |
EC max contribution | 4˙977˙200 € (89%) |
Programme |
1. H2020-EU.3.7. (Secure societies - Protecting freedom and security of Europe and its citizens) |
Code Call | H2020-FCT-2015 |
Funding Scheme | IA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-09-01 to 2019-11-30 |
Take a look of project's partnership.
Law Enforcement Agencies (LEAs) across Europe face today important challenges in how they identify, gather and interpret terrorist generated content online. The Dark Web presents additional challenges due to its inaccessibility and the fact that undetected material can contribute to the advancement of terrorist violence and radicalisation. LEAs also face the challenge of extracting and summarising meaningful and relevant content hidden in huge amounts of online data to inform their resource deployment and investigations. In this context, the main objective of the TENSOR project is to provide a powerful terrorism intelligence platform offering LEAs fast and reliable planning and prevention functionalities for the early detection of terrorist organised activities, radicalisation and recruitment. The platform integrates a set of automated and semi-automated tools for efficient and effective searching, crawling, monitoring and gathering online terrorist-generated content from the Surface and the Dark Web; Internet penetration through intelligent dialogue-empowered bots; Information extraction from multimedia (e.g., video, images, audio) and multilingual content; Content categorisation, filtering and analysis; Real-time relevant content summarisation and visualisation; Creation of automated audit trails; Privacy-by-design and data protection. The project brings together industry, LEAs, legal experts and research institutions. It is expected that this collaboration will have significant impact on 1) ensuring the final system meets end-user LEA requirements, 2) enabling LEAs to access and examine terrorist generated content online bringing significant advantages to their operational capability, and 3) promoting industry’s enhanced understanding of operational LEA requirements and their market competitiveness in the field of online organised crime, terrorism and harmful-radicalisation.
Initial dissemination plan and communication material | Documents, reports | 2020-04-23 03:26:51 |
Market analysis | Documents, reports | 2020-04-23 03:26:51 |
Take a look to the deliverables list in detail: detailed list of TENSOR deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2016 |
Generalitat de Catalunya TENSOR: una plataforma per a la detecció precoç d’activitats terroristes published pages: , ISSN: , DOI: |
2020-04-23 | |
2017 |
Elissavet Batziou, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Antoniou, Ioannis Kompatsiaris Unsupervised Keyword Extraction Using the GoW Model and Centrality Scores published pages: 344-351, ISSN: 0302-9743, DOI: 10.1007/978-3-319-70284-1_26 |
INSCI 2017 | 2020-04-23 |
2017 |
C. Iliou, T. Tsikrika, S. Vrochidis, I. Kompatsiaris Evasive Focused Crawling by Exploiting Human Browsing Behaviour: a Study on Terrorism-Related Content published pages: , ISSN: , DOI: |
2020-04-23 | |
2017 |
T. Tsikrika, B. Akhgar, V. Katos, S. Vrochidis, P. Burnap, M. L. Williams 1st International Workshop on Search and Mining Terrorist Online Content & Advances in Data Science for Cyber Security and Risk on the Web published pages: , ISSN: , DOI: |
2020-04-23 | |
2017 |
Mille, S., S. Dasiopoulou FORGe at WebNLG 2017 published pages: , ISSN: , DOI: |
2020-04-23 | |
2017 |
Mille, S. and L. Wanner A demo of FORGe: the Pompeu Fabra Open Rule-based Generator published pages: 245-246, ISSN: , DOI: |
2020-04-23 | |
2017 |
I. Gialampoukidis, G. Kalpakis, T. Tsikrika, S. Papadopoulos, S. Vrochidis, I. Kompatsiaris Detection of Terrorism-Related Twitter Communities using Centrality Scores published pages: , ISSN: , DOI: |
2020-04-23 | |
2017 |
F. Markatopoulou, A. Moumtzidou, D. Galanopoulos, K. Avgerinakis, S. Andreadis, I. Gialampoukidis, S. Tachos, S. Vrochidis, V. Mezaris, I. Kompatsiaris, I. Patras ITI-CERTH participation in TRECVID 2017 published pages: , ISSN: , DOI: |
2020-04-23 | |
2017 |
Mille, S., R. Carlini, I. Latorre and L. Wanner Transduction-based Deep Analysis published pages: 80-88, ISSN: , DOI: |
2020-04-23 | |
2017 |
Mille, S., R. Carlini, A. Burga and L. Wanner FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers published pages: 920-923, ISSN: , DOI: |
2020-04-23 | |
2017 |
Mille, S., S. Dasiopoulou FORGe at E2E 2017 published pages: , ISSN: , DOI: |
2020-04-23 |
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The information about "TENSOR" are provided by the European Opendata Portal: CORDIS opendata.