Criminal Detection – An aplication for Criminal Identification
Journal Title: Romanian Journal of Human - Computer Interaction - Year 2013, Vol 6, Issue 4
Abstract
This paper aims to help people who want to quickly identify a potential criminal, based on information that we have available at a given moment. The system uses as input information from unstructured text that can come from sources such as newspapers, minutes of the scene, witness statements, etc. and it uses computational linguistics techniques to extract relevant information to identify the criminal. The textual processing presented in this paper, enables (1) extracting entity names (so you can get a group of suspects or the location where the crime happened), (2) identify relationships between words, to extract knowledge (thus, it can obtain physical characteristics of criminals, crime type or weapon type used) and identify the roles (thus, it can identify victims, villains or witnesses). The application also allows the creation of a robot portrait of the criminal, can associate pictures or the robot portrait to a person considered by the application and can display on a map the location of the event. We believe that the application could be used in a real environment in the various institutions, where the processing of these types of texts is currently performed manually, primarily by employees.
Authors and Affiliations
Ana-Teodora Petrea, Adrian Iftene
Keywords
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