Using an ontology to improve search in a terrorism database system

Gruenwald, Le; McNutt, G.; Mercier, Alain

doi:10.1109/dexa.2003.1232111

Cited by 7 publications

(6 citation statements)

References 11 publications

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“…Sterling Software [8] is a software development company has been leading the development of IE system for the intelligence analyst. They have been designing and developing a number of systems since 1998 to identify and keeping track of individuals and organization involves in various criminal activities such as drug trafficking, terrorism, insurgency, weapons proliferation, etc.…”

Section: Related Workmentioning

confidence: 99%

“…This can be a challenge when prohibitively high volume of data is hard to be processed in real time. A research in [8] used ontology to improve search in their terrorism database. They demonstrated their idea on Oklahoma City National Memorial Institute for the Prevention of Terrorism (MIPT) and the Office for Domestic Preparedness, U.S. Department of Homeland Security database.…”

Section: Introductionmentioning

confidence: 99%

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Information Extraction for Counter-Terrorism: A Survey

Zamin

2009

2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns

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The awareness of terrorism has increased since the event of the September 11 in the U.S. It has focused the spotlight on the absence of information available about terrorism. The fight against terrorism has trigger new effort to find better approaches to intelligence data gathering and analysis. Generally, a major activity in counter-terrorism is the ability to process high-volumes of data using various Artificial Intelligence (AI) techniques to identify potential threats. Recently, there has been a huge increase in the amount of intelligence-surveillance data literature. However, it so difficult to gain access to relevant data when the data are scattered in different departments and exist in many forms such as phone tap scripts, internet usage logs, emails, seized hard-drive, CCTV video, images, etc. In this paper, a survey is presented on the technical challenges in extracting terrorism data and sets forth several significant approaches to these technical challenges.The performance by each reviewed approaches in counter terrorism and other domains is evaluated. The potential of using Link Grammar (LG) in information processing is also explored.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Information Extraction for Counter-Terrorism: A Survey

Zamin

2009

2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns

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“…Research in the use of ontologies is ongoing as their popularity increases. A majority of this research is in the area of organising and searching the World Wide Web, as discussed by Mahalingam and Huhns (1997) and also by Stojanovic (2005), and in the area of extracting data from databases, as referred to by Biskup and Embly (2003) and also by Gruenwald, McNutt and Mercier (2003). The use of ontologies in the arena of forensic computing is new but it is potentially powerful, given the success of ontologies in other arenas.…”

Section: Figure 3 -Evolved Simple Programming Language Ontologymentioning

confidence: 99%

Development of an Ontology Based Forensic Search Mechanism: Proof of Concept

Slay

Schulz

2006

JDFSL

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This paper examines the problems faced by Law Enforcement in searching large quantities of electronic evidence. It examines the use of ontologies as the basis for new forensic software filters and provides a proof of concept tool based on an ontological design. It demonstrates that efficient searching is produced through the use of such a design and points to further work that might be carried out to extend this concept.

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“…A very small part of programming language has been formed in the form of a hyper tree. Souza et al presented this as a tool for ontology visualization [12].…”

Section: Ontologymentioning

confidence: 99%

An Intelligent Forensic Framework towards Cloud: Its Ontological Aspects

Datta¹,

Pan²

2016

IJCA

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Cloud Computing, a relatively new concept and all its associated methodologies offer uncountable advantages nowa-days. These advantages range from integrating different systems, offering guarantee over searching mean distribution and to software tools integration, used by various cloud service providers and consumers. So all these provisions are not only making our lives easier but attract lots of intruders and malicious actors to perform various cloud crimes. This paper aims to contribute towards the design of an ontology based cloud forensic framework with a view to identify the malicious actors. The proposed framework consists of mainly two components -Ontology-Enabled Forensic Blackboard (OFB) and Ontology-Enabled Forensic Controller and Processor (OFCP). The main function of OFB is to communicate with the investigators after receiving the classified crime incident scene collected from VM snapshots where ontology base is used spontaneously to distribute the investigators" request for proper information relevant to the investigation. Whereas, the function of the OFCP is to interact with different Cloud Malicious Actor Identifier (CMAI) so that accurate information can be gathered based on the distributed request with the help of a meta-ontology framework that acquire and restructure data using different AI reasoning tools and finally the mapping with its corresponding requests is done.

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Using an ontology to improve search in a terrorism database system

Cited by 7 publications

References 11 publications

Information Extraction for Counter-Terrorism: A Survey

Information Extraction for Counter-Terrorism: A Survey

Development of an Ontology Based Forensic Search Mechanism: Proof of Concept

An Intelligent Forensic Framework towards Cloud: Its Ontological Aspects

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