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A Framework for Digital Forensics Analysis based on Semantic Role Labeling - 2017

A Framework for Digital Forensics Analysis based on Semantic Role Labeling

Research Area:  Digital Forensics

Abstract:

This article describes a framework for semantic annotation of texts that are submitted for forensic analysis, based on Frame Semantics, and a knowledge base of Forensic Frames - FrameFOR. We demonstrate through experimental evaluations that the application of the Semantic Role Labeling (SRL) techniques and Natural Language Processing (NLP) in digital forensic increases the performance of the forensic experts in terms of agility, precision and recall.

Keywords:  

Author(s) Name:   Ravi Barreira; Vládia Pinheiro; Vasco Furtado

Journal name:  

Conferrence name:  IEEE International Conference on Intelligence and Security Informatics (ISI)

Publisher name:  IEEE

DOI:  10.1109/ISI.2017.8004876

Volume Information: