A framework for digital forensics analysis based on semantic role labeling

Ravi Barreira, V. Pinheiro, Vasco Furtado
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引用次数: 4

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.
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基于语义角色标注的数字取证分析框架
本文描述了一个框架,用于对提交用于取证分析的文本进行语义注释,该框架基于框架语义,以及取证框架的知识库——FrameFOR。我们通过实验评估证明,语义角色标记(SRL)技术和自然语言处理(NLP)在数字取证中的应用提高了取证专家在敏捷性、准确性和召回率方面的表现。
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