In this paper a Big Data Pipeline is presented, taking in consideration both structured and unstructured data made available by the Italian Ministry of Justice, regarding their Telematic Civil Process. Indeed, the complexity and volume of the data provided by the Ministry requires the application of Big Data analysis techniques, in concert with Machine and Deep Learning frameworks, to be correctly analysed and to obtain meaningful information that could support the Ministry itself in better managing Civil Processes. The Pipeline has two main objectives: to provide a consistent workflow of activities to be applied to the incoming data, aiming at extracting useful information for the Ministry's decision making tasks; to homogenize the incoming data, so that they can be stored in a centralized and coherent Datalake to be used as a reference for further analysis and considerations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.