dc.contributor.author |
Dawood, Zubeida C
|
|
dc.contributor.author |
Van 't Wout, C
|
|
dc.date.accessioned |
2023-01-17T06:05:20Z |
|
dc.date.available |
2023-01-17T06:05:20Z |
|
dc.date.issued |
2022-10 |
|
dc.identifier.citation |
Dawood, Z.C. & Van 't Wout, C. 2022. An ontology towards predicting terrorism events. <i>International Journal of Cyber Warfare and Terrorism (IJCWT).</i> http://hdl.handle.net/10204/12570 |
en_ZA |
dc.identifier.issn |
1947-3435 |
|
dc.identifier.issn |
1947-3443 |
|
dc.identifier.uri |
DOI: 10.4018/IJCWT.311421
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/12570
|
|
dc.description.abstract |
Although there is an increasing amount of information for counter-terrorism operations freely available online, it is a complex process to extract relevant information and to detect useful patterns in the data in order for intelligence functionaries to identify threats and to predict possible terror attacks. Automation is required for intelligent decision-making. To assist with this, in this paper, the researchers propose an ontology-based data access system for counter-terrorism. The system will enable intelligence analysts to perform specialised semantic searches about terrorist events or groups for analysis using an ontology. In this paper, the researchers present the ontology that was created by following an existing methodology for ontology development, and an ontology-based data access system together with all the components used in development (i.e., databases, web-scraper tools, ontology-based data access software, and data sources). Lastly, the ontology is demonstrated by means of use cases with example queries for generating actionable intelligence for operations. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://www.igi-global.com/article/an-ontology-towards-predicting-terrorism-events/311421 |
en_US |
dc.source |
International Journal of Cyber Warfare and Terrorism (IJCWT) |
en_US |
dc.subject |
Ontology |
en_US |
dc.subject |
Semantic Interoperability |
en_US |
dc.subject |
Semantic Web |
en_US |
dc.subject |
Terror attacks |
en_US |
dc.subject |
Terrorism |
en_US |
dc.subject |
Web scraper |
en_US |
dc.title |
An ontology towards predicting terrorism events |
en_US |
dc.type |
Article |
en_US |
dc.description.pages |
13pp |
en_US |
dc.description.note |
Copyright © 2022, IGI Global. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://www.igi-global.com/article/an-ontology-towards-predicting-terrorism-events/311421 |
en_US |
dc.description.cluster |
Defence and Security |
en_US |
dc.description.impactarea |
Inf and Cybersecurity Centre |
en_US |
dc.identifier.apacitation |
Dawood, Z. C., & Van 't Wout, C. (2022). An ontology towards predicting terrorism events. <i>International Journal of Cyber Warfare and Terrorism (IJCWT)</i>, http://hdl.handle.net/10204/12570 |
en_ZA |
dc.identifier.chicagocitation |
Dawood, Zubeida C, and C Van 't Wout "An ontology towards predicting terrorism events." <i>International Journal of Cyber Warfare and Terrorism (IJCWT)</i> (2022) http://hdl.handle.net/10204/12570 |
en_ZA |
dc.identifier.vancouvercitation |
Dawood ZC, Van 't Wout C. An ontology towards predicting terrorism events. International Journal of Cyber Warfare and Terrorism (IJCWT). 2022; http://hdl.handle.net/10204/12570. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Dawood, Zubeida C
AU - Van 't Wout, C
AB - Although there is an increasing amount of information for counter-terrorism operations freely available online, it is a complex process to extract relevant information and to detect useful patterns in the data in order for intelligence functionaries to identify threats and to predict possible terror attacks. Automation is required for intelligent decision-making. To assist with this, in this paper, the researchers propose an ontology-based data access system for counter-terrorism. The system will enable intelligence analysts to perform specialised semantic searches about terrorist events or groups for analysis using an ontology. In this paper, the researchers present the ontology that was created by following an existing methodology for ontology development, and an ontology-based data access system together with all the components used in development (i.e., databases, web-scraper tools, ontology-based data access software, and data sources). Lastly, the ontology is demonstrated by means of use cases with example queries for generating actionable intelligence for operations.
DA - 2022-10
DB - ResearchSpace
DP - CSIR
J1 - International Journal of Cyber Warfare and Terrorism (IJCWT)
KW - Ontology
KW - Semantic Interoperability
KW - Semantic Web
KW - Terror attacks
KW - Terrorism
KW - Web scraper
LK - https://researchspace.csir.co.za
PY - 2022
SM - 1947-3435
SM - 1947-3443
T1 - An ontology towards predicting terrorism events
TI - An ontology towards predicting terrorism events
UR - http://hdl.handle.net/10204/12570
ER -
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en_ZA |
dc.identifier.worklist |
26162 |
en_US |