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

Abstract

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… (More)
DOI: 10.1109/BigDataService.2016.19

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Cite this paper

@article{Trovati2016DependencyNE, title={Dependency Networks Extractions from Textual Sources in Criminology: An Initial Implementation}, author={Marcello Trovati and Philip Hodgson and Charlotte Hargreaves and Andrew David Baker and John Panneerselvam and Nik Bessis}, journal={2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService)}, year={2016}, pages={276-282} }