Complex mission scenarios are those in which information changes continuously and quickly or scenarios having large quantities of expensive resources, a large number of norms and rules, or a large number of personnel, for instance crimes in cyberspace, computer forensics, or computer and digital investigation. Organisations participating in such scenarios may have components in different geographic locations: some in the field and others in the office. Enabling coordination between these components in highly unstable environments is a challenging task. Our aim is to investigate the use of ontology with computational agents to support complex mission scenarios in Forensic Computing. This paper presents a logic- and set-based model to represent scenarios in the context of a formal organisation. In addition, an outstanding ontology was implemented that describes typical mission activities, their relationships, required resources, and constraints. This ontology is used to map a mission to an
organisation. We also present a realistic ontology scheme in forensic computing for the Brazilian Federal Police and a case study in which agents from a formal organisation were deployed in complex mission scenarios. This ontology can be easily extended to other police or military forces, and is an efficient tool for managing people and resources.
Artificial intelligence, complex mission scenarios, forensic computing, international scientific exchange, ontology.
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THE INTERNATIONAL JOURNAL OF FORENSIC COMPUTER SCIENCE - IJoFCS
Volume 3, Number 1, pp 42-50, DOI: 10.5769/J200801004 or http://dx.doi.org/10.5769/J200801004
Ontology for Complex Mission Scenarios in Forensic Computing
By Jose Nogueira and Wamberto Vasconcelos.
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