Dependency Networks Extractions from Textual Sources in Criminology: An Initial Implementation

The acquisition and understanding of data is of paramount importance in any scientific context. However, the complexity of data due to its exponentially increasing size, its dynamical properties, and its internal contradictory information, raises huge challenges, which are at the core of Big Data science. In this paper, we discuss an automatic method to identify, rank and discover knowledge specifically focusing on Criminology research. Our main motivation is to create a set of tools to guide criminology experts through the decision process and knowledge discovery. In our validation we will show the clear potential of the proposed method.