Big Data and forensics: an innovative approach for a predictable jurisprudence
| Autor: | Carlo Cusatelli, Massimiliano Giacalone, Angelo Romano, Vito Santarcangelo, Antonio Buondonno |
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| Přispěvatelé: | Giacalone, Massimiliano, Cusatelli, C., Romano, A., Buondonno, A., Santarcangelo, V. |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Big Data
Information Systems and Management Quality In law Computer science media_common.quotation_subject Statistical index Big data 02 engineering and technology Theoretical Computer Science Text mining Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Quality (business) Semantic text similarity Duration (project management) TRACE (psycholinguistics) media_common Information retrieval business.industry 05 social sciences 050301 education Data science Computer Science Applications Work (electrical) Literal text similarity Control and Systems Engineering Order (business) 020201 artificial intelligence & image processing business 0503 education Efficiency In law Software |
| Popis: | Nowadays, it is easy to trace a large amount of information on the Web, to access documents and produce a digital storage. The current work is submitted as an introduction to an innovative system for the investigation about notoriety of Web data which is based on the evaluation of judicial sentences and it is implemented to reduce the duration of all processes. This research also aims to open some new conjoint debates about the study and application of statistical and computational methods to web data on new forensics topics: text mining techniques enable us to obtain information which may be helpful to establish a statistical index in order to describe the quality and the efficiency in terms of law. It is also possible to develop an intelligent system about facts and judgments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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